Index (RankSys 0.4.3 API)

A B C D E F G H I J K L M N O P Q R S T U V W X Z

A

AbstractCODEC<T> - Class in org.ranksys.compression.codecs: Generic abstract CODEC for statistics collection.
AbstractCODEC() - Constructor for class org.ranksys.compression.codecs.AbstractCODEC: Constructor.
AbstractCODECPreferenceData<U,I,Cu,Ci> - Class in org.ranksys.compression.preferences: Abstract PreferenceData using compression.
AbstractCODECPreferenceData(FastUserIndex, FastItemIndex, CODEC<Cu>, CODEC<Ci>) - Constructor for class org.ranksys.compression.preferences.AbstractCODECPreferenceData: Constructor with default IdxPref to IdPref converters.
AbstractCODECPreferenceData(FastUserIndex, FastItemIndex, CODEC<Cu>, CODEC<Ci>, Function<IdxPref, IdPref>, Function<IdxPref, IdPref>) - Constructor for class org.ranksys.compression.preferences.AbstractCODECPreferenceData: Constructor with custom IdxPref to IdPref converters.
AbstractFastFeatureData<I,F,V> - Class in es.uam.eps.ir.ranksys.fast.feature: Abstract FastFeatureData, implementing the interfaces of FastItemIndex and FastFeatureIndex by delegating to implementations of these.
AbstractFastFeatureData(FastItemIndex, FastFeatureIndex<F>) - Constructor for class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData: Constructor.
AbstractFastPreferenceData<U,I> - Class in es.uam.eps.ir.ranksys.fast.preference: Abstract FastFeatureData, implementing the interfaces of FastUserIndex and FastItemIndex by delegating to implementations of these.
AbstractFastPreferenceData(FastUserIndex, FastItemIndex) - Constructor for class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData: Constructor.
AbstractFastPreferenceData(FastUserIndex, FastItemIndex, Function<IdxPref, IdPref>, Function<IdxPref, IdPref>) - Constructor for class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData: Constructor.
AbstractFastPreferenceSampler<U,I> - Class in org.ranksys.fast.preference: Abstract fast preference sampler, implementing methods from FastUserIndex and FastItemIndex.
AbstractFastPreferenceSampler(FastUserIndex, FastItemIndex) - Constructor for class org.ranksys.fast.preference.AbstractFastPreferenceSampler: Constructor.
AbstractFastRecommender<U,I> - Class in es.uam.eps.ir.ranksys.rec.fast: Abstract (fast) recommender.
AbstractFastRecommender(FastUserIndex, FastItemIndex) - Constructor for class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender: Constructor.
AbstractRecommendationMetric<U,I> - Class in es.uam.eps.ir.ranksys.metrics: Abstract recommendation metric.
AbstractRecommendationMetric() - Constructor for class es.uam.eps.ir.ranksys.metrics.AbstractRecommendationMetric
AbstractRecommender<U,I> - Class in es.uam.eps.ir.ranksys.rec: Abstract recommender.
AbstractRecommender() - Constructor for class es.uam.eps.ir.ranksys.rec.AbstractRecommender
AbstractRecommenderRunner<U,I> - Class in es.uam.eps.ir.ranksys.rec.runner: Generic recommender runner.
AbstractRecommenderRunner(Stream) - Constructor for class es.uam.eps.ir.ranksys.rec.runner.AbstractRecommenderRunner: Constructor.
AbstractSalesDiversityMetric<U,I> - Class in es.uam.eps.ir.ranksys.diversity.sales.metrics: Abstract sales diversity metrics.
AbstractSalesDiversityMetric(int, RankingDiscountModel, RelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.diversity.sales.metrics.AbstractSalesDiversityMetric: Constructor
AbstractSystemMetric<U,I> - Class in es.uam.eps.ir.ranksys.metrics: Abstract system metric.
AbstractSystemMetric() - Constructor for class es.uam.eps.ir.ranksys.metrics.AbstractSystemMetric
AbstractTopN<T> - Class in es.uam.eps.ir.ranksys.core.util.topn: Bounded min-heap to keep just the top-n greatest objects.
AbstractTopN(int) - Constructor for class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN: Constructor
accept(double) - Method in class es.uam.eps.ir.ranksys.core.util.Stats: Adds a value and updates the statistics.
accept(Recommendation<U, I>) - Method in interface org.ranksys.formats.rec.RecommendationFormat.Writer
add(T) - Method in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN
add(T, double) - Method in class es.uam.eps.ir.ranksys.core.util.topn.ObjectDoubleTopN: Tries to add an object-double pair to the heap.
add(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.diversity.sales.metrics.AbstractSalesDiversityMetric
add(F) - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastFeatureIndex: Add a new feature to the index.
add(I) - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastItemIndex: Add a new item to the index.
add(U) - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastUserIndex: Add a new user to the index.
add(T) - Method in class es.uam.eps.ir.ranksys.fast.utils.IdxIndex: Adds an element to the structure.
add(int, double) - Method in class es.uam.eps.ir.ranksys.fast.utils.topn.IntDoubleTopN: Tries to add an integer-double pair to the heap.
add(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.metrics.basic.AverageRecommendationMetric
add(Recommendation<U, I>) - Method in interface es.uam.eps.ir.ranksys.metrics.SystemMetric: Add a recommendation to the metric.
add(long, long) - Method in class org.ranksys.compression.codecs.AbstractCODEC: Adds the input/output byes of a compression.
addAndEvaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.metrics.basic.AverageRecommendationMetric: Adds the recommendation metric to the average and returns the user value.
AggregateDiversityMetric<U,I> - Class in es.uam.eps.ir.ranksys.diversity.sales.metrics: Aggregate diversity.
AggregateDiversityMetric(int, RelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.diversity.sales.metrics.AggregateDiversityMetric: Constructor.
all() - Static method in class es.uam.eps.ir.ranksys.rec.runner.fast.FastFilters: False item filter as it admits every item.
all() - Static method in class es.uam.eps.ir.ranksys.rec.runner.Filters: False item filter as it admits every item.
AlphaBayesRuleReranker<U,I> - Class in es.uam.eps.ir.ranksys.novelty.inverted.br: Prior smoothed Bayesian probabilistic reformulation re-ranker.
AlphaBayesRuleReranker(double, Object2DoubleMap) - Constructor for class es.uam.eps.ir.ranksys.novelty.inverted.br.AlphaBayesRuleReranker: Constructor that receives a pre-calculated norm map.
AlphaBayesRuleReranker(double, Stream<Recommendation<U, I>>) - Constructor for class es.uam.eps.ir.ranksys.novelty.inverted.br.AlphaBayesRuleReranker: Constructor that receives a set of recommendations and calculates the norm.
AlphaBayesRuleReranker(double, Stream, Recommender<U, I>) - Constructor for class es.uam.eps.ir.ranksys.novelty.inverted.br.AlphaBayesRuleReranker: Constructor that generates recommendations to calculate a norm.
AlphaNDCG<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.intentaware.metrics: alpha-nDCG metric.
AlphaNDCG(int, double, FeatureData<I, F, ?>, BinaryRelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.metrics.AlphaNDCG: Constructor.
AlphaXQuAD<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.intentaware.reranking: eXplicit Query Aspect Diversification re-ranker with parametrised tolerance to redundancy.
AlphaXQuAD(AspectModel<U, I, F>, double, double, int, boolean) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.reranking.AlphaXQuAD: Constructor.
AlphaXQuAD.UserAlphaXQuAD - Class in es.uam.eps.ir.ranksys.diversity.intentaware.reranking: User re-ranker for AlphaXQuAD.
ALSFactorizer<U,I> - Class in es.uam.eps.ir.ranksys.mf.als: Generic alternating least-squares factorizer.
ALSFactorizer(int) - Constructor for class es.uam.eps.ir.ranksys.mf.als.ALSFactorizer: Constructor.
and(Function<U, IntPredicate>...) - Static method in class es.uam.eps.ir.ranksys.rec.runner.fast.FastFilters: AND of two or more filters.
and(Function<U, Predicate>...) - Static method in class es.uam.eps.ir.ranksys.rec.runner.Filters: AND of two or more filters.
apply(CharSequence) - Method in interface org.ranksys.formats.parsing.Parser
ArrayDoubleIterator - Class in org.ranksys.core.util.iterators: Array-backed iterator over primitive doubles.
ArrayDoubleIterator(double[]) - Constructor for class org.ranksys.core.util.iterators.ArrayDoubleIterator: Constructor.
ArrayIntIterator - Class in org.ranksys.core.util.iterators: Array-backed iterator over primitive integers.
ArrayIntIterator(int[]) - Constructor for class org.ranksys.core.util.iterators.ArrayIntIterator: Constructor.
AspectModel<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.intentaware: Aspect model for the intent-aware diversification framework.
AspectModel(IntentModel<U, I, F>) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.AspectModel: Constructor taking the intent model
aspectModel - Variable in class es.uam.eps.ir.ranksys.diversity.intentaware.reranking.AlphaXQuAD: Aspect model used for diversification.
AspectModel.ItemAspectModel<U,I,F> - Interface in es.uam.eps.ir.ranksys.diversity.intentaware: Item aspect model for AspectModel.
AspectModel.UserAspectModel - Class in es.uam.eps.ir.ranksys.diversity.intentaware: User aspect model for AspectModel.
asTuple() - Method in class org.ranksys.core.util.tuples.Tuple2id: Converts the tuple into a jOOL tuple.
asTuple() - Method in class org.ranksys.core.util.tuples.Tuple2io: Converts the tuple into a jOOL tuple.
asTuple() - Method in class org.ranksys.core.util.tuples.Tuple2od: Converts the tuple into a jOOL tuple.
atled(int[], int, int) - Static method in class org.ranksys.compression.util.Delta: Restores a d-gap array into the original integers.
AveragePrecision<U,I> - Class in es.uam.eps.ir.ranksys.metrics.basic: Average Precision: average of the precision at each recall level.
AveragePrecision(int, IdealRelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.metrics.basic.AveragePrecision: Constructor.
AverageRecommendationMetric<U,I> - Class in es.uam.eps.ir.ranksys.metrics.basic: Average of a recommendation metric: system metric based on the arithmetic mean of a recommendation metric for a set of users' recommendations.
AverageRecommendationMetric(RecommendationMetric<U, I>, int) - Constructor for class es.uam.eps.ir.ranksys.metrics.basic.AverageRecommendationMetric: Constructor in which the number of users of the recommendation metric to be averaged is specified.
AverageRecommendationMetric(RecommendationMetric<U, I>, boolean) - Constructor for class es.uam.eps.ir.ranksys.metrics.basic.AverageRecommendationMetric: Constructor in which the average is calculated for all the recommendations added during the calculation.

B

BackgroundBinaryRelevanceModel<U,I> - Class in es.uam.eps.ir.ranksys.metrics.rel: Background discount model: assumes the relevance of unseen items in a test subset with a pre-fixed gain value.
BackgroundBinaryRelevanceModel(boolean, PreferenceData<U, I>, double, double) - Constructor for class es.uam.eps.ir.ranksys.metrics.rel.BackgroundBinaryRelevanceModel: Constructor.
BayesRuleReranker<U,I> - Class in es.uam.eps.ir.ranksys.novelty.inverted.br: Bayesian probabilistic reformulation re-ranker.
BayesRuleReranker() - Constructor for class es.uam.eps.ir.ranksys.novelty.inverted.br.BayesRuleReranker
BinaryCODECPreferenceData<U,I,Cu,Ci> - Class in org.ranksys.compression.preferences: PreferenceData for binary data using compression.
BinaryCODECPreferenceData(FastPreferenceData<U, I>, FastUserIndex, FastItemIndex, CODEC<Cu>, CODEC<Ci>) - Constructor for class org.ranksys.compression.preferences.BinaryCODECPreferenceData: Constructor that utilizes other PreferenceData object with default IdxPref to IdPref converters.
BinaryCODECPreferenceData(FastPreferenceData<U, I>, FastUserIndex, FastItemIndex, CODEC<Cu>, CODEC<Ci>, Function<IdxPref, IdPref>, Function<IdxPref, IdPref>) - Constructor for class org.ranksys.compression.preferences.BinaryCODECPreferenceData: Constructor that utilizes other PreferenceData object with custom IdxPref to IdPref converters.
BinaryCODECPreferenceData(Stream<Tuple2io<int[]>>, Stream<Tuple2io<int[]>>, FastUserIndex, FastItemIndex, CODEC<Cu>, CODEC<Ci>) - Constructor for class org.ranksys.compression.preferences.BinaryCODECPreferenceData: Constructor using streams of user and items preferences lists with default IdxPref to IdPref converters.
BinaryCODECPreferenceData(Stream<Tuple2io<int[]>>, Stream<Tuple2io<int[]>>, FastUserIndex, FastItemIndex, CODEC<Cu>, CODEC<Ci>, Function<IdxPref, IdPref>, Function<IdxPref, IdPref>) - Constructor for class org.ranksys.compression.preferences.BinaryCODECPreferenceData: Constructor using streams of user and items preferences lists with custom IdxPref to IdPref converters.
BinaryRelevanceModel<U,I> - Class in es.uam.eps.ir.ranksys.metrics.rel: Relevance model in which the items in a preference subset with a value equal or above a threshold are judged as relevant.
BinaryRelevanceModel(boolean, PreferenceData<U, I>, double) - Constructor for class es.uam.eps.ir.ranksys.metrics.rel.BinaryRelevanceModel: Constructor
BinaryTree<N extends BinaryTree.Node> - Class in org.ranksys.core.util: Binary tree.
BinaryTree(N) - Constructor for class org.ranksys.core.util.BinaryTree: Constructor.
BinaryTree.Node - Class in org.ranksys.core.util: Node of a binary tree.
BinomialCoverage<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.binom.metrics: Binomial coverage metric.
BinomialCoverage(BinomialModel<U, I, F>, FeatureData<I, F, ?>, int, RelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.diversity.binom.metrics.BinomialCoverage: Constructor.
BinomialCoverageReranker<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.binom.reranking: Binomial coverage reranker.
BinomialCoverageReranker(FeatureData<I, F, ?>, BinomialModel<U, I, F>, double, int) - Constructor for class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialCoverageReranker: Constructor.
BinomialCoverageReranker.BinomialCoverageUserReranker - Class in es.uam.eps.ir.ranksys.diversity.binom.reranking: User re-ranker for BinomialCoverageReranker.
BinomialCoverageUserReranker(Recommendation<U, I>, int) - Constructor for class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialCoverageReranker.BinomialCoverageUserReranker: Constructor.
BinomialDiversity<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.binom.metrics: Binomial diversity metric.
BinomialDiversity(BinomialModel<U, I, F>, FeatureData<I, F, ?>, int, RelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.diversity.binom.metrics.BinomialDiversity: Constructor.
BinomialDiversityReranker<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.binom.reranking: Binomial diversity reranker.
BinomialDiversityReranker(FeatureData<I, F, ?>, BinomialModel<U, I, F>, double, int) - Constructor for class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialDiversityReranker: Constructor.
BinomialDiversityReranker.BinomialDiversityUserReranker - Class in es.uam.eps.ir.ranksys.diversity.binom.reranking: User re-ranker for BinomialDiversityReranker.
BinomialDiversityUserReranker(Recommendation<U, I>, int) - Constructor for class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialDiversityReranker.BinomialDiversityUserReranker: Constructor.
BinomialMetric<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.binom.metrics: Abstract class for metrics using the binomial model.
BinomialMetric(BinomialModel<U, I, F>, FeatureData<I, F, ?>, int, RelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.diversity.binom.metrics.BinomialMetric: Constructor.
BinomialModel<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.binom: Binomial genre diversity model.
BinomialModel(boolean, Stream, PreferenceData<U, I>, FeatureData<I, F, ?>, double) - Constructor for class es.uam.eps.ir.ranksys.diversity.binom.BinomialModel: Constructor.
BinomialModel.UserBinomialModel - Class in es.uam.eps.ir.ranksys.diversity.binom: Binomial diversity model of a user.
BinomialNonRedundancy<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.binom.metrics: Binomial redundancy metric.
BinomialNonRedundancy(BinomialModel<U, I, F>, FeatureData<I, F, ?>, int, RelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.diversity.binom.metrics.BinomialNonRedundancy: Constructor.
BinomialNonRedundancyReranker<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.binom.reranking: Binomial redundancy reranker.
BinomialNonRedundancyReranker(FeatureData<I, F, ?>, BinomialModel<U, I, F>, double, int) - Constructor for class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialNonRedundancyReranker: Constructor.
BinomialNonRedundancyReranker.BinomialNonRedundancyUserReranker - Class in es.uam.eps.ir.ranksys.diversity.binom.reranking: User re-ranker for BinomialNonRedundancyReranker.
BinomialNonRedundancyUserReranker(Recommendation<U, I>, int) - Constructor for class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialNonRedundancyReranker.BinomialNonRedundancyUserReranker: Constructor.
BitStreamCODEC - Class in org.ranksys.compression.codecs.dsi: Wrapper of dsiutils' BitStreams.
BitStreamCODEC() - Constructor for class org.ranksys.compression.codecs.dsi.BitStreamCODEC
BPRPreferenceFMData - Class in org.ranksys.fm.data: Samples user preferences for a BPR-like loss minimisation.
BPRPreferenceFMData(FastPreferenceData<?, ?>) - Constructor for class org.ranksys.fm.data.BPRPreferenceFMData: Constructor.
BPRPreferenceFMData(FastPreferenceData<?, ?>, Random) - Constructor for class org.ranksys.fm.data.BPRPreferenceFMData: Constructor.

C

CachedItemNeighborhood - Class in es.uam.eps.ir.ranksys.nn.item.neighborhood: Cached item neighborhood.
CachedItemNeighborhood(ItemNeighborhood) - Constructor for class es.uam.eps.ir.ranksys.nn.item.neighborhood.CachedItemNeighborhood: Constructor
CachedNeighborhood - Class in es.uam.eps.ir.ranksys.nn.neighborhood: Cached neighborhood.
CachedNeighborhood(int, Neighborhood) - Constructor for class es.uam.eps.ir.ranksys.nn.neighborhood.CachedNeighborhood: Constructor that calculates and caches neighborhoods.
CachedNeighborhood(int, Stream<Tuple2io<Stream<Tuple2id>>>) - Constructor for class es.uam.eps.ir.ranksys.nn.neighborhood.CachedNeighborhood: Constructor that caches a stream of previously calculated neighborhoods.
CachedUserNeighborhood - Class in es.uam.eps.ir.ranksys.nn.user.neighborhood: Cached user similarity.
CachedUserNeighborhood(UserNeighborhood) - Constructor for class es.uam.eps.ir.ranksys.nn.user.neighborhood.CachedUserNeighborhood: Constructor that calculates and caches user neighborhoods.
CachedUserNeighborhood(FastUserIndex, Stream<Tuple2<U, Stream<Tuple2od>>>) - Constructor for class es.uam.eps.ir.ranksys.nn.user.neighborhood.CachedUserNeighborhood: Constructor that caches a stream of previously calculated neighborhoods.
calculateNorm(Stream<Recommendation<U, I>>) - Static method in class es.uam.eps.ir.ranksys.novelty.inverted.br.AlphaBayesRuleReranker: Calculates the norm (sum of relevance scores) of each item.
CandidatesRecommenderRunner<U,I> - Class in es.uam.eps.ir.ranksys.rec.runner: Recommender runner that generates recommendations using the candidate recommender method.
CandidatesRecommenderRunner(Set, Function<U, List>) - Constructor for class es.uam.eps.ir.ranksys.rec.runner.CandidatesRecommenderRunner: Constructor.
capacity - Variable in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN: Maximum capacity of the heap.
close() - Method in class org.ranksys.formats.rec.TuplesRecommendationFormat.Writer
co(int[], int, int) - Method in interface org.ranksys.compression.codecs.CODEC: Compress.
co(int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.BitStreamCODEC
co(int[], int, int) - Method in class org.ranksys.compression.codecs.lemire.FastPFORVBCODEC
co(int[], int, int) - Method in class org.ranksys.compression.codecs.lemire.LemireCODEC
co(int[], int, int) - Method in class org.ranksys.compression.codecs.NullCODEC
CODEC<T> - Interface in org.ranksys.compression.codecs: Integer compression codec.
combine(Stats) - Method in class es.uam.eps.ir.ranksys.core.util.Stats: Combines the statistics for another sample into this.
combine(SystemMetric<U, I>) - Method in class es.uam.eps.ir.ranksys.diversity.sales.metrics.AbstractSalesDiversityMetric
combine(SystemMetric<U, I>) - Method in class es.uam.eps.ir.ranksys.metrics.basic.AverageRecommendationMetric
combine(SystemMetric<U, I>) - Method in interface es.uam.eps.ir.ranksys.metrics.SystemMetric: Combines the recommendations added to other system metric to this one.
compare(int, T) - Method in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN: Compares the i-th element of the heap with the element
compare(int, int) - Method in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN: Compares the i-th element of the heap with the j-th element in the heap.
compare(int, Tuple2od<T>) - Method in class es.uam.eps.ir.ranksys.core.util.topn.ObjectDoubleTopN
compare(int, int) - Method in class es.uam.eps.ir.ranksys.core.util.topn.ObjectDoubleTopN
compare(int, T) - Method in class es.uam.eps.ir.ranksys.core.util.topn.TopN
compare(int, int) - Method in class es.uam.eps.ir.ranksys.core.util.topn.TopN
compare(int, Tuple2id) - Method in class es.uam.eps.ir.ranksys.fast.utils.topn.IntDoubleTopN
compare(int, int) - Method in class es.uam.eps.ir.ranksys.fast.utils.topn.IntDoubleTopN
compareTo(Tuple2id) - Method in class org.ranksys.core.util.tuples.Tuple2id
compareTo(Tuple2io<T2>) - Method in class org.ranksys.core.util.tuples.Tuple2io
compareTo(Tuple2od<T1>) - Method in class org.ranksys.core.util.tuples.Tuple2od
CompressibleBinaryPreferencesFormat - Class in org.ranksys.formats.preference: Compression-ready format for binary preference data.
CompressibleBinaryPreferencesFormat() - Constructor for class org.ranksys.formats.preference.CompressibleBinaryPreferencesFormat
CompressibleRatingPreferencesFormat - Class in org.ranksys.formats.preference: Compression-ready format for rating preference data.
CompressibleRatingPreferencesFormat() - Constructor for class org.ranksys.formats.preference.CompressibleRatingPreferencesFormat
CompressionExample - Class in org.ranksys.examples: Example of usage of the RankSys-compression module.
CompressionExample() - Constructor for class org.ranksys.examples.CompressionExample
ConcatPreferenceData<U,I> - Class in es.uam.eps.ir.ranksys.core.preference: Concatenation of two PreferenceData's
ConcatPreferenceData(PreferenceData<U, I>, PreferenceData<U, I>) - Constructor for class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData: Constructor.
containsFeature(F) - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
containsFeature(F) - Method in interface es.uam.eps.ir.ranksys.core.index.FeatureIndex: Checks whether the index contains a feature.
containsFeature(F) - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
containsFeature(F) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastFeatureIndex
containsFeature(F) - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastFeatureIndex
containsId(T) - Method in class es.uam.eps.ir.ranksys.fast.utils.IdxIndex: Checks whether the structure contains this element.
containsItem(I) - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
containsItem(I) - Method in interface es.uam.eps.ir.ranksys.core.index.ItemIndex: Checks whether the index contains an item.
containsItem(I) - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
containsItem(I) - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
containsItem(I) - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
containsItem(I) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastItemIndex
containsItem(I) - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastItemIndex
containsItem(I) - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
containsItem(I) - Method in class es.uam.eps.ir.ranksys.mf.Factorization
containsItem(I) - Method in class org.ranksys.fm.PreferenceFM
containsUser(U) - Method in interface es.uam.eps.ir.ranksys.core.index.UserIndex: Checks whether the index contains a user.
containsUser(U) - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
containsUser(U) - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
containsUser(U) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastUserIndex
containsUser(U) - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastUserIndex
containsUser(U) - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
containsUser(U) - Method in class es.uam.eps.ir.ranksys.mf.Factorization
containsUser(U) - Method in class org.ranksys.fm.PreferenceFM
CosineFeatureItemDistanceModel<I,F> - Class in es.uam.eps.ir.ranksys.novdiv.distance: Vector cosine item distance model.
CosineFeatureItemDistanceModel(FeatureData<I, F, Double>) - Constructor for class es.uam.eps.ir.ranksys.novdiv.distance.CosineFeatureItemDistanceModel: Constructor.
coverage(BinomialModel<U, I, F>.UserBinomialModel, Object2IntMap<F>, int) - Static method in class es.uam.eps.ir.ranksys.diversity.binom.metrics.BinomialCoverage: Returns the value of the binomial coverage metric for a given count of features from a recommendation list.
CPR<U,I,F> - Class in org.ranksys.diversity.prop.metrics: Cumulative proportionality metric.
CPR(BinomialModel<U, I, F>, FeatureData<I, F, ?>, int, RelevanceModel<U, I>) - Constructor for class org.ranksys.diversity.prop.metrics.CPR: Constructor.
cutoff - Variable in class es.uam.eps.ir.ranksys.diversity.sales.metrics.AbstractSalesDiversityMetric: maximum length of the recommendation lists that is evaluated
cutoff - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker: Cut-off of the re-ranking.

D

data - Variable in class es.uam.eps.ir.ranksys.nn.item.ItemNeighborhoodRecommender: Preference data.
data - Variable in class es.uam.eps.ir.ranksys.nn.sim.SetSimilarity: User-item preferences.
data - Variable in class es.uam.eps.ir.ranksys.nn.sim.VectorSimilarity: User-item preferences.
data - Variable in class es.uam.eps.ir.ranksys.nn.user.UserNeighborhoodRecommender: Preference data.
dec(T, int[], int, int) - Method in interface org.ranksys.compression.codecs.CODEC: Decompress.
dec(byte[], int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.BitStreamCODEC
dec(int[], int[], int, int) - Method in class org.ranksys.compression.codecs.lemire.FastPFORVBCODEC
dec(int[], int[], int, int) - Method in class org.ranksys.compression.codecs.lemire.LemireCODEC
dec(int[], int[], int, int) - Method in class org.ranksys.compression.codecs.NullCODEC
Delta - Class in org.ranksys.compression.util: Delta gaps support.
Delta() - Constructor for class org.ranksys.compression.util.Delta
delta(int[], int, int) - Static method in class org.ranksys.compression.util.Delta: Converts sorted array into d-gaps.
dense - Variable in class es.uam.eps.ir.ranksys.nn.sim.SetSimilarity: If true dense vectors are used to calculate similarities.
dense - Variable in class es.uam.eps.ir.ranksys.nn.sim.VectorSimilarity: If true, dense vectors are used to calculate similarities.
depth() - Method in class org.ranksys.core.util.BinaryTree: Returns the depth of the tree.
depth() - Method in class org.ranksys.core.util.BinaryTree.Node: Computes recursively the depth of the sub-tree whose root is this node.
disc(int) - Method in class es.uam.eps.ir.ranksys.metrics.rank.ExponentialDiscountModel: Discount to be applied at a given position.
disc(int) - Method in class es.uam.eps.ir.ranksys.metrics.rank.LogarithmicDiscountModel
disc(int) - Method in class es.uam.eps.ir.ranksys.metrics.rank.NoDiscountModel
disc(int) - Method in interface es.uam.eps.ir.ranksys.metrics.rank.RankingDiscountModel: Discount to be applied at a given position.
disc(int) - Method in class es.uam.eps.ir.ranksys.metrics.rank.ReciprocalDiscountModel: Discount to be applied at a given position.
dist(double, double, double) - Method in class es.uam.eps.ir.ranksys.novdiv.distance.CosineFeatureItemDistanceModel
dist(I) - Method in class es.uam.eps.ir.ranksys.novdiv.distance.FeatureItemDistanceModel: Returns a function that return the distance to the input item.
dist(Stream<Tuple2<F, V>>) - Method in class es.uam.eps.ir.ranksys.novdiv.distance.FeatureItemDistanceModel: Returns a function that returns the feature-based similarity to the features of an item.
dist(I) - Method in interface es.uam.eps.ir.ranksys.novdiv.distance.ItemDistanceModel: Returns a function that return the distance to the input item.
dist(I, I) - Method in interface es.uam.eps.ir.ranksys.novdiv.distance.ItemDistanceModel: Returns the distance between a pair of items.
dist(double, double, double) - Method in class es.uam.eps.ir.ranksys.novdiv.distance.JaccardFeatureItemDistanceModel
dist(Stream<Tuple2<F, Double>>) - Method in class es.uam.eps.ir.ranksys.novdiv.distance.VectorFeatureItemDistanceModel: Returns a function that returns the feature-based similarity to the features of an item.
dist(double, double, double) - Method in class es.uam.eps.ir.ranksys.novdiv.distance.VectorFeatureItemDistanceModel: Distance as a function of the inner product between feature vectors and the square of the norms of these vectors.
DitheringReranker<U,I> - Class in org.ranksys.novdiv.reranking: Dithering re-ranker.
DitheringReranker(double) - Constructor for class org.ranksys.novdiv.reranking.DitheringReranker: Constructor.
dp - Static variable in class org.ranksys.formats.parsing.Parsers: Parse to Double.

E

EFD<U,I> - Class in es.uam.eps.ir.ranksys.novelty.longtail.metrics: Expected free discovery metric.
EFD(int, FDItemNovelty<U, I>, RelevanceModel<U, I>, RankingDiscountModel) - Constructor for class es.uam.eps.ir.ranksys.novelty.longtail.metrics.EFD: Constructor.
EILD<U,I> - Class in es.uam.eps.ir.ranksys.diversity.distance.metrics: Expected Intra-List Diversity metric.
EILD(int, ItemDistanceModel, RelevanceModel<U, I>, RankingDiscountModel) - Constructor for class es.uam.eps.ir.ranksys.diversity.distance.metrics.EILD: Constructor with a single ranking discount model.
EILD(int, ItemDistanceModel, RelevanceModel<U, I>, RankingDiscountModel, RankingDiscountModel) - Constructor for class es.uam.eps.ir.ranksys.diversity.distance.metrics.EILD: Constructor with a two ranking discount models: for global ranking and ranking gap between items.
EISDC<U,I> - Class in es.uam.eps.ir.ranksys.novelty.sales.metrics: Expected Inter-System Discovery Complement metric.
EISDC(int, ISDCItemNovelty<U, I>, RelevanceModel<U, I>, RankingDiscountModel) - Constructor for class es.uam.eps.ir.ranksys.novelty.sales.metrics.EISDC: Constructor.
EIUDC<U,I> - Class in es.uam.eps.ir.ranksys.diversity.sales.metrics: Expected inter user discovery complement.
EIUDC(int, RankingDiscountModel, RelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.diversity.sales.metrics.EIUDC: Constructor
EIUFD<U,I> - Class in es.uam.eps.ir.ranksys.diversity.sales.metrics: Expected inter-user free discovery.
EIUFD(int, RankingDiscountModel, RelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.diversity.sales.metrics.EIUFD: Constructor
EIURD<U,I> - Class in es.uam.eps.ir.ranksys.diversity.sales.metrics: Expected inter-user reciprocal discovery.
EIURD(int, RankingDiscountModel, RelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.diversity.sales.metrics.EIURD: Constructor
EliasFanoBitStreamCODEC - Class in org.ranksys.compression.codecs.dsi: Elias-Fano coding.
EliasFanoBitStreamCODEC() - Constructor for class org.ranksys.compression.codecs.dsi.EliasFanoBitStreamCODEC
Entropy<U,I> - Class in es.uam.eps.ir.ranksys.diversity.sales.metrics: Entropy sales diversity metric.
Entropy(int) - Constructor for class es.uam.eps.ir.ranksys.diversity.sales.metrics.Entropy: Constructor.
EPC<U,I> - Class in es.uam.eps.ir.ranksys.novelty.longtail.metrics: Expected popularity complement metric.
EPC(int, PCItemNovelty<U, I>, RelevanceModel<U, I>, RankingDiscountModel) - Constructor for class es.uam.eps.ir.ranksys.novelty.longtail.metrics.EPC: Constructor.
EPD<U,I> - Class in es.uam.eps.ir.ranksys.novelty.unexp.metrics: Expected profile distance metric.
EPD(int, PDItemNovelty<U, I>, RelevanceModel<U, I>, RankingDiscountModel) - Constructor for class es.uam.eps.ir.ranksys.novelty.unexp.metrics.EPD: Constructor.
equals(Object) - Method in class org.ranksys.core.util.tuples.Tuple2id
equals(Object) - Method in class org.ranksys.core.util.tuples.Tuple2io
equals(Object) - Method in class org.ranksys.core.util.tuples.Tuple2od
ERRIA<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.intentaware.metrics: Intent-Aware Expected Reciprocal Rank metric.
ERRIA(int, IntentModel<U, I, F>, ERRIA.ERRRelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.metrics.ERRIA: Constructor.
ERRIA.ERRRelevanceModel<U,I> - Class in es.uam.eps.ir.ranksys.diversity.intentaware.metrics: Relevance model for ERRIA.
ERRIA.ERRRelevanceModel.UserERRRelevanceModel - Class in es.uam.eps.ir.ranksys.diversity.intentaware.metrics: User relevance model for ERRIA.ERRRelevanceModel.
error(Factorization<U, I>, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.als.ALSFactorizer
error(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.als.ALSFactorizer: Squared loss of two matrices.
error(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.als.HKVFactorizer
error(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.als.PZTFactorizer
error(Factorization<U, I>, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.Factorizer: Global loss of the factorization.
error(Factorization<U, I>, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.plsa.PLSAFactorizer
ERRRelevanceModel(boolean, PreferenceData<U, I>, double) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.metrics.ERRIA.ERRRelevanceModel: Constructor
es.uam.eps.ir.ranksys.core - package es.uam.eps.ir.ranksys.core: Core interfaces and classes in RankSys.
es.uam.eps.ir.ranksys.core.feature - package es.uam.eps.ir.ranksys.core.feature: Classes for accessing item-feature data.
es.uam.eps.ir.ranksys.core.index - package es.uam.eps.ir.ranksys.core.index: Indexes for users, items and features.
es.uam.eps.ir.ranksys.core.model - package es.uam.eps.ir.ranksys.core.model: Classes for user models.
es.uam.eps.ir.ranksys.core.preference - package es.uam.eps.ir.ranksys.core.preference: Classes for accessing user-item preferences.
es.uam.eps.ir.ranksys.core.util - package es.uam.eps.ir.ranksys.core.util: Generic utilities.
es.uam.eps.ir.ranksys.core.util.topn - package es.uam.eps.ir.ranksys.core.util.topn: Bounded min-heaps to keep the top-n values.
es.uam.eps.ir.ranksys.diversity.binom - package es.uam.eps.ir.ranksys.diversity.binom: Binomial genre-diversity model.
es.uam.eps.ir.ranksys.diversity.binom.metrics - package es.uam.eps.ir.ranksys.diversity.binom.metrics: Binomial metrics.
es.uam.eps.ir.ranksys.diversity.binom.reranking - package es.uam.eps.ir.ranksys.diversity.binom.reranking: Binomial re-rankers.
es.uam.eps.ir.ranksys.diversity.distance.metrics - package es.uam.eps.ir.ranksys.diversity.distance.metrics: Distance-based metrics.
es.uam.eps.ir.ranksys.diversity.distance.reranking - package es.uam.eps.ir.ranksys.diversity.distance.reranking: Distance-based rerankers.
es.uam.eps.ir.ranksys.diversity.intentaware - package es.uam.eps.ir.ranksys.diversity.intentaware: Intent-aware model.
es.uam.eps.ir.ranksys.diversity.intentaware.metrics - package es.uam.eps.ir.ranksys.diversity.intentaware.metrics: Intent-aware metrics.
es.uam.eps.ir.ranksys.diversity.intentaware.reranking - package es.uam.eps.ir.ranksys.diversity.intentaware.reranking: Intent-aware re-rankers.
es.uam.eps.ir.ranksys.diversity.other.metrics - package es.uam.eps.ir.ranksys.diversity.other.metrics: Other diversity metrics.
es.uam.eps.ir.ranksys.diversity.sales.metrics - package es.uam.eps.ir.ranksys.diversity.sales.metrics: Sales diversity metrics.
es.uam.eps.ir.ranksys.examples - package es.uam.eps.ir.ranksys.examples: Example main programs for recommenders, metrics and rerankers.
es.uam.eps.ir.ranksys.fast - package es.uam.eps.ir.ranksys.fast: Core classes of RankSys-fast.
es.uam.eps.ir.ranksys.fast.feature - package es.uam.eps.ir.ranksys.fast.feature: Fast versions of FeatureData.
es.uam.eps.ir.ranksys.fast.index - package es.uam.eps.ir.ranksys.fast.index: Fast versions of user/item/feature indexes.
es.uam.eps.ir.ranksys.fast.preference - package es.uam.eps.ir.ranksys.fast.preference: Fast versions of PreferenceData.
es.uam.eps.ir.ranksys.fast.utils - package es.uam.eps.ir.ranksys.fast.utils: Utilities for RankSys-module.
es.uam.eps.ir.ranksys.fast.utils.topn - package es.uam.eps.ir.ranksys.fast.utils.topn: Fast versions of TopN.
es.uam.eps.ir.ranksys.metrics - package es.uam.eps.ir.ranksys.metrics: Interfaces and abstract classes for metrics.
es.uam.eps.ir.ranksys.metrics.basic - package es.uam.eps.ir.ranksys.metrics.basic: Implementations of basic, common metrics.
es.uam.eps.ir.ranksys.metrics.rank - package es.uam.eps.ir.ranksys.metrics.rank: Ranking discount models.
es.uam.eps.ir.ranksys.metrics.rel - package es.uam.eps.ir.ranksys.metrics.rel: Relevance models.
es.uam.eps.ir.ranksys.mf - package es.uam.eps.ir.ranksys.mf: Matrix factorization base classes.
es.uam.eps.ir.ranksys.mf.als - package es.uam.eps.ir.ranksys.mf.als: Alternating least-squares factorization.
es.uam.eps.ir.ranksys.mf.plsa - package es.uam.eps.ir.ranksys.mf.plsa: Probabilistic latent semantic analysis.
es.uam.eps.ir.ranksys.mf.rec - package es.uam.eps.ir.ranksys.mf.rec: Matrix factorization recommenders.
es.uam.eps.ir.ranksys.nn.item - package es.uam.eps.ir.ranksys.nn.item: Item-based nearest neighbors recommenders.
es.uam.eps.ir.ranksys.nn.item.neighborhood - package es.uam.eps.ir.ranksys.nn.item.neighborhood: Item neighborhoods.
es.uam.eps.ir.ranksys.nn.item.sim - package es.uam.eps.ir.ranksys.nn.item.sim: Item similarities.
es.uam.eps.ir.ranksys.nn.neighborhood - package es.uam.eps.ir.ranksys.nn.neighborhood: Neighborhoods.
es.uam.eps.ir.ranksys.nn.sim - package es.uam.eps.ir.ranksys.nn.sim: Similarities.
es.uam.eps.ir.ranksys.nn.user - package es.uam.eps.ir.ranksys.nn.user: User-based nearest neighbors recommenders.
es.uam.eps.ir.ranksys.nn.user.neighborhood - package es.uam.eps.ir.ranksys.nn.user.neighborhood: User neighborhoods.
es.uam.eps.ir.ranksys.nn.user.sim - package es.uam.eps.ir.ranksys.nn.user.sim: User similarities.
es.uam.eps.ir.ranksys.novdiv.distance - package es.uam.eps.ir.ranksys.novdiv.distance: Item distance models.
es.uam.eps.ir.ranksys.novdiv.itemnovelty - package es.uam.eps.ir.ranksys.novdiv.itemnovelty: Item novelty models.
es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics - package es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics: Item novelty metrics.
es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking - package es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking: Item novelty re-rankers.
es.uam.eps.ir.ranksys.novdiv.reranking - package es.uam.eps.ir.ranksys.novdiv.reranking: Re-rankers.
es.uam.eps.ir.ranksys.novelty.inverted.br - package es.uam.eps.ir.ranksys.novelty.inverted.br: Bayesian probabilistic reformulations.
es.uam.eps.ir.ranksys.novelty.inverted.neighborhood - package es.uam.eps.ir.ranksys.novelty.inverted.neighborhood: Inverted neighborhoods.
es.uam.eps.ir.ranksys.novelty.longtail - package es.uam.eps.ir.ranksys.novelty.longtail: Long Tail novelty.
es.uam.eps.ir.ranksys.novelty.longtail.metrics - package es.uam.eps.ir.ranksys.novelty.longtail.metrics: Long Tail novelty metrics.
es.uam.eps.ir.ranksys.novelty.longtail.reranking - package es.uam.eps.ir.ranksys.novelty.longtail.reranking: Long Tail novelty re-rankers.
es.uam.eps.ir.ranksys.novelty.sales - package es.uam.eps.ir.ranksys.novelty.sales: Sales novelty.
es.uam.eps.ir.ranksys.novelty.sales.metrics - package es.uam.eps.ir.ranksys.novelty.sales.metrics: Sales novelty metrics.
es.uam.eps.ir.ranksys.novelty.sales.reranking - package es.uam.eps.ir.ranksys.novelty.sales.reranking: Sales novelty re-rankers.
es.uam.eps.ir.ranksys.novelty.temporal - package es.uam.eps.ir.ranksys.novelty.temporal: Temporal novelty.
es.uam.eps.ir.ranksys.novelty.temporal.metrics - package es.uam.eps.ir.ranksys.novelty.temporal.metrics: Temporal novelty metrics.
es.uam.eps.ir.ranksys.novelty.temporal.reranking - package es.uam.eps.ir.ranksys.novelty.temporal.reranking: Temporal novelty re-rankers.
es.uam.eps.ir.ranksys.novelty.unexp - package es.uam.eps.ir.ranksys.novelty.unexp: Unexpectedness.
es.uam.eps.ir.ranksys.novelty.unexp.metrics - package es.uam.eps.ir.ranksys.novelty.unexp.metrics: Unexpectedness metrics.
es.uam.eps.ir.ranksys.novelty.unexp.reranking - package es.uam.eps.ir.ranksys.novelty.unexp.reranking: Unexpectedness re-rankers.
es.uam.eps.ir.ranksys.rec - package es.uam.eps.ir.ranksys.rec: Base classes and interfaces for recommendation algorithms.
es.uam.eps.ir.ranksys.rec.fast - package es.uam.eps.ir.ranksys.rec.fast: Fast version of base classes and interfaces for recommendation algorithms.
es.uam.eps.ir.ranksys.rec.fast.basic - package es.uam.eps.ir.ranksys.rec.fast.basic: Basic recommendation algorithms.
es.uam.eps.ir.ranksys.rec.runner - package es.uam.eps.ir.ranksys.rec.runner: Recommender runners.
es.uam.eps.ir.ranksys.rec.runner.fast - package es.uam.eps.ir.ranksys.rec.runner.fast: Fast recommender runners.
estimate(FastPreferenceData<U, I>, int, double, double, int, int) - Static method in class org.ranksys.lda.LDAModelEstimator: Estimate a topic model for collaborative filtering data.
ETD<U,I> - Class in es.uam.eps.ir.ranksys.novelty.temporal.metrics: Expected Temporal Discovery metric.
ETD(int, TDItemNovelty<U, I>, RelevanceModel<U, I>, RankingDiscountModel) - Constructor for class es.uam.eps.ir.ranksys.novelty.temporal.metrics.ETD: Constructor.
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.diversity.binom.metrics.BinomialMetric: Returns a score for the recommendation list.
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.diversity.distance.metrics.EILD: Returns a score for the recommendation list.
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.metrics.AlphaNDCG: Returns a score for the recommendation list.
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.metrics.ERRIA: Returns a score for the recommendation list.
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.diversity.other.metrics.SRecall: Returns a score for the recommendation list.
evaluate() - Method in class es.uam.eps.ir.ranksys.diversity.sales.metrics.AbstractSalesDiversityMetric
evaluate() - Method in class es.uam.eps.ir.ranksys.diversity.sales.metrics.AggregateDiversityMetric: Evaluates the metric for the recommendations added so far.
evaluate() - Method in class es.uam.eps.ir.ranksys.diversity.sales.metrics.GiniIndex: Evaluates the metric for the recommendations added so far.
evaluate() - Method in class es.uam.eps.ir.ranksys.diversity.sales.metrics.GiniSimpsonIndex: Evaluates the metric for the recommendations added so far.
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.metrics.basic.AveragePrecision: Returns a score for the recommendation list.
evaluate() - Method in class es.uam.eps.ir.ranksys.metrics.basic.AverageRecommendationMetric
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.metrics.basic.NDCG: Returns a score for the recommendation list.
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.metrics.basic.NumRetrieved: Returns a score for the recommendation list.
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.metrics.basic.Precision: Returns a score for the recommendation list.
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.metrics.basic.Recall: Returns a score for the recommendation list.
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.metrics.basic.ReciprocalRank: Returns a score for the recommendation list.
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.metrics.basic.Recommendability: Returns a score for the recommendation list.
evaluate(Recommendation<U, I>) - Method in interface es.uam.eps.ir.ranksys.metrics.RecommendationMetric: Returns a score for the recommendation list.
evaluate() - Method in interface es.uam.eps.ir.ranksys.metrics.SystemMetric: Evaluates the metric for the recommendations added so far.
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics.ItemNoveltyMetric: Returns a score for the recommendation list.
evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.novelty.temporal.metrics.ETD: Returns a score for the recommendation list.
evaluate(Recommendation<U, I>) - Method in class org.ranksys.diversity.prop.metrics.CPR
evaluate(Recommendation<U, I>) - Method in class org.ranksys.metrics.basic.KCall
ExponentialDiscountModel - Class in es.uam.eps.ir.ranksys.metrics.rank: Exponential ranking discount: disc(k) = base^k.
ExponentialDiscountModel(double) - Constructor for class es.uam.eps.ir.ranksys.metrics.rank.ExponentialDiscountModel: Constructor.

F

Factorization<U,I> - Class in es.uam.eps.ir.ranksys.mf: Matrix factorization.
Factorization(FastUserIndex, FastItemIndex, int, DoubleFunction) - Constructor for class es.uam.eps.ir.ranksys.mf.Factorization: Constructor.
Factorization(FastUserIndex, FastItemIndex, DenseDoubleMatrix2D, DenseDoubleMatrix2D, int) - Constructor for class es.uam.eps.ir.ranksys.mf.Factorization: Constructor for stored factorizations.
FactorizationFormat - Interface in org.ranksys.formats.factorization: Matrix factorisation format.
factorize(int, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.als.ALSFactorizer
factorize(Factorization<U, I>, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.als.ALSFactorizer
factorize(int, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.Factorizer: Creates and calculates a factorization.
factorize(Factorization<U, I>, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.Factorizer: Calculates the factorization by using a previously generate matrix factorization.
factorize(int, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.plsa.PLSAFactorizer
factorize(Factorization<U, I>, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.plsa.PLSAFactorizer
Factorizer<U,I> - Class in es.uam.eps.ir.ranksys.mf: Factorizer.
Factorizer() - Constructor for class es.uam.eps.ir.ranksys.mf.Factorizer
FastEnsembleRecommender<U,I> - Class in org.ranksys.rec.fast: Ensemble of recommenders, performs a linear combination of the scores given by several recommenders.
FastEnsembleRecommender(Iterable<Map.Entry<FastRankingRecommender<U, I>, Double>>) - Constructor for class org.ranksys.rec.fast.FastEnsembleRecommender: Constructor.
FastFeatureData<I,F,V> - Interface in es.uam.eps.ir.ranksys.fast.feature: Fast version of FeatureData, where item-feature relationships are stored internally by the indexes provided by FastItemIndex and FastFeatureIndex.
FastFeatureIndex<F> - Interface in es.uam.eps.ir.ranksys.fast.index: Fast version of FeatureIndex, where features are internally represented with numerical indices from 0 (inclusive) to the number of indexed features (exclusive).
FastFilterRecommenderRunner<U,I> - Class in es.uam.eps.ir.ranksys.rec.runner.fast: Fast filter runner.
FastFilterRecommenderRunner(FastUserIndex, FastItemIndex, Stream, Function<U, IntPredicate>, int) - Constructor for class es.uam.eps.ir.ranksys.rec.runner.fast.FastFilterRecommenderRunner: Constructor.
FastFilters - Class in es.uam.eps.ir.ranksys.rec.runner.fast: Filters for the filter recommender method in FastRecommender.
FastFilters() - Constructor for class es.uam.eps.ir.ranksys.rec.runner.fast.FastFilters
FastItemIndex - Interface in es.uam.eps.ir.ranksys.fast.index: Fast version of ItemIndex, where items are internally represented with numerical indices from 0 (inclusive) to the number of indexed items (exclusive).
FastPFORVBCODEC - Class in org.ranksys.compression.codecs.lemire: FastPFOR coding (with Variable Byte as fallback).
FastPFORVBCODEC() - Constructor for class org.ranksys.compression.codecs.lemire.FastPFORVBCODEC: Constructor.
FastPointWisePreferenceData<U,I> - Interface in org.ranksys.fast.preference: Fast point-wise preference data.
FastPreferenceData<U,I> - Interface in es.uam.eps.ir.ranksys.fast.preference: Fast version of PreferenceData, where preferences for users and items are stored internally by the indexes provided by FastUserIndex and FastItemIndex.
FastPreferenceSampler<U,I> - Interface in org.ranksys.fast.preference: Fast preference sampler, for stochastic algorithms.
FastRankingRecommender<U,I> - Class in es.uam.eps.ir.ranksys.rec.fast: Recommender for top-n recommendations.
FastRankingRecommender(FastUserIndex, FastItemIndex) - Constructor for class es.uam.eps.ir.ranksys.rec.fast.FastRankingRecommender: Constructor.
FastRecommendation - Class in es.uam.eps.ir.ranksys.fast: Fast recommendation, where users and items are identified by index.
FastRecommendation(int, List<Tuple2id>) - Constructor for class es.uam.eps.ir.ranksys.fast.FastRecommendation: Constructor.
FastRecommender<U,I> - Interface in es.uam.eps.ir.ranksys.rec.fast: Fast recommender.
fastSample() - Method in interface org.ranksys.fast.preference.FastPreferenceSampler: Get a stream of randomly sample user-item fast preferences.
FastStringSplitter - Class in es.uam.eps.ir.ranksys.core.util: Efficient and fast CharSequence splitter.
FastStringSplitter() - Constructor for class es.uam.eps.ir.ranksys.core.util.FastStringSplitter
FastUserIndex - Interface in es.uam.eps.ir.ranksys.fast.index: Fast version of UserIndex, where users are internally represented with numerical indices from 0 (inclusive) to the number of indexed users (exclusive).
FDItemNovelty<U,I> - Class in es.uam.eps.ir.ranksys.novelty.longtail: Free discovery item novelty model.
FDItemNovelty(PreferenceData<U, I>) - Constructor for class es.uam.eps.ir.ranksys.novelty.longtail.FDItemNovelty: Constructor
FDItemNoveltyReranker<U,I> - Class in es.uam.eps.ir.ranksys.novelty.longtail.reranking: Free Discovery item novelty re-ranker.
FDItemNoveltyReranker(double, FDItemNovelty<U, I>, boolean) - Constructor for class es.uam.eps.ir.ranksys.novelty.longtail.reranking.FDItemNoveltyReranker: Constructor.
FeatsReader - Class in org.ranksys.formats.index: Reader for list of feats (feature values).
FeatsReader() - Constructor for class org.ranksys.formats.index.FeatsReader
feature2fidx(F) - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
feature2fidx(F) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastFeatureIndex: Returns the index assigned to the feature.
feature2fidx(Tuple2<F, V>) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastFeatureIndex: Applies FastFeatureIndex::feature2fidx to the first element of the tuple.
feature2fidx(Tuple2od<F>) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastFeatureIndex: Applies FastFeatureIndex::feature2fidx to the first element of the tuple.
feature2fidx(F) - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastFeatureIndex
FeatureData<I,F,V> - Interface in es.uam.eps.ir.ranksys.core.feature: Item-feature data.
featureData - Variable in class es.uam.eps.ir.ranksys.diversity.intentaware.FeatureIntentModel: item features data
FeatureIndex<F> - Interface in es.uam.eps.ir.ranksys.core.index: Index for a set of features.
FeatureIntentModel<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.intentaware: Default feature-based intent-aware model.
FeatureIntentModel(Stream, PreferenceData<U, I>, FeatureData<I, F, ?>) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.FeatureIntentModel: Constructor that caches user intent-aware models.
FeatureIntentModel(PreferenceData<U, I>, FeatureData<I, F, ?>) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.FeatureIntentModel: Constructor that does not cache user intent-aware models.
FeatureIntentModel.FeatureUserIntentModel - Class in es.uam.eps.ir.ranksys.diversity.intentaware: Default user intent-aware model for FeatureIntentModel.
FeatureItemDistanceModel<I,F,V> - Class in es.uam.eps.ir.ranksys.novdiv.distance: Feature-based item distance model.
FeatureItemDistanceModel(FeatureData<I, F, V>) - Constructor for class es.uam.eps.ir.ranksys.novdiv.distance.FeatureItemDistanceModel: Constructor.
featureNorms - Variable in class es.uam.eps.ir.ranksys.diversity.intentaware.FeatureIntentModel: features norms
FeaturesReader - Interface in org.ranksys.formats.feature: Reader of files containing information to load into a FeatureData object.
FeatureUserIntentModel(U) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.FeatureIntentModel.FeatureUserIntentModel: Constructor.
fidx2feature(int) - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
fidx2feature(int) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastFeatureIndex: Returns the feature represented with the index.
fidx2feature(Tuple2io<V>) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastFeatureIndex: Applies FastFeatureIndex::fidx2feature to the first element of the tuple.
fidx2feature(Tuple2id) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastFeatureIndex: Applies FastFeatureIndex::fidx2feature to the first element of the tuple.
fidx2feature(int) - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastFeatureIndex
FilterRecommenderRunner<U,I> - Class in es.uam.eps.ir.ranksys.rec.runner: Filter runner.
FilterRecommenderRunner(Stream, Function<U, Predicate>, int) - Constructor for class es.uam.eps.ir.ranksys.rec.runner.FilterRecommenderRunner: Constructor.
Filters - Class in es.uam.eps.ir.ranksys.rec.runner: Filters for the filter recommender method in Recommender.
Filters() - Constructor for class es.uam.eps.ir.ranksys.rec.runner.Filters
FixedLengthBitStreamCODEC - Class in org.ranksys.compression.codecs.dsi: Fixed-length coding.
FixedLengthBitStreamCODEC(int) - Constructor for class org.ranksys.compression.codecs.dsi.FixedLengthBitStreamCODEC: Constructor.
FMFormat - Interface in org.ranksys.formats.factorization: Factorisation machine format for reading and writing from files.
FMRecommender<U,I> - Class in org.ranksys.fm.rec: A recommender using a factorisation machine.
FMRecommender(PreferenceFM<U, I>) - Constructor for class org.ranksys.fm.rec.FMRecommender: Constructor.
FORVBCODEC - Class in org.ranksys.compression.codecs.lemire: Frame of Reference coding (with Variable Byte as fallback).
FORVBCODEC() - Constructor for class org.ranksys.compression.codecs.lemire.FORVBCODEC: Constructor.
fp - Static variable in class org.ranksys.formats.parsing.Parsers: Parse to Float.
freeNorm - Variable in class es.uam.eps.ir.ranksys.diversity.sales.metrics.AbstractSalesDiversityMetric: Norm for free discovery item novelty models.

G

gain(I) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.metrics.ERRIA.ERRRelevanceModel.UserERRRelevanceModel
gain(I) - Method in class es.uam.eps.ir.ranksys.metrics.basic.NDCG.NDCGRelevanceModel.UserNDCGRelevanceModel: Gain obtained by recommending the item.
gain(I) - Method in interface es.uam.eps.ir.ranksys.metrics.rel.RelevanceModel.UserRelevanceModel: Gain obtained by recommending the item.
GammaBitStreamCODEC - Class in org.ranksys.compression.codecs.dsi: Gamma coding.
GammaBitStreamCODEC() - Constructor for class org.ranksys.compression.codecs.dsi.GammaBitStreamCODEC
get(U) - Method in class es.uam.eps.ir.ranksys.core.model.UserModel: Calculates the user model for user u.
get() - Method in class es.uam.eps.ir.ranksys.core.util.Lazy
get(int) - Method in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN: Returns the i-th element in the heap.
get(int) - Method in class es.uam.eps.ir.ranksys.core.util.topn.ObjectDoubleTopN
get(int) - Method in class es.uam.eps.ir.ranksys.core.util.topn.TopN
get(U) - Method in class es.uam.eps.ir.ranksys.diversity.binom.BinomialModel
get(U) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.FeatureIntentModel: Calculates the user model for user u.
get(U) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.IntentModel
get(U) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.metrics.ERRIA.ERRRelevanceModel
get(U) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.ScoresAspectModel
get(U) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.ScoresRelevanceAspectModel
get(T) - Method in class es.uam.eps.ir.ranksys.fast.utils.IdxIndex: Gets the index of the element.
get(int) - Method in class es.uam.eps.ir.ranksys.fast.utils.IdxIndex: Gets the element assigned to the index.
get(int) - Method in class es.uam.eps.ir.ranksys.fast.utils.topn.IntDoubleTopN
get(U) - Method in class es.uam.eps.ir.ranksys.metrics.basic.NDCG.NDCGRelevanceModel: Calculates the user model for user u.
get(U) - Method in class es.uam.eps.ir.ranksys.metrics.rel.BackgroundBinaryRelevanceModel
get(U) - Method in class es.uam.eps.ir.ranksys.metrics.rel.BinaryRelevanceModel
get(U) - Method in class es.uam.eps.ir.ranksys.metrics.rel.IdealRelevanceModel
get(U) - Method in class es.uam.eps.ir.ranksys.metrics.rel.NoRelevanceModel
get(U) - Method in class es.uam.eps.ir.ranksys.metrics.rel.RelevanceModel
get(U) - Method in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.ItemNovelty
get(U) - Method in class es.uam.eps.ir.ranksys.novelty.longtail.FDItemNovelty
get(U) - Method in class es.uam.eps.ir.ranksys.novelty.longtail.PCItemNovelty
get(U) - Method in class es.uam.eps.ir.ranksys.novelty.sales.ISDCItemNovelty
get(U) - Method in class es.uam.eps.ir.ranksys.novelty.temporal.TDItemNovelty
get(U) - Method in class es.uam.eps.ir.ranksys.novelty.unexp.PDItemNovelty
get() - Static method in class org.ranksys.formats.factorization.SimpleFactorizationFormat: Returns an instance of this class.
get() - Static method in class org.ranksys.formats.factorization.SimpleFMFormat: Returns an instance of this class.
get() - Static method in class org.ranksys.formats.feature.SimpleFeaturesReader: Returns and instance of this class.
get() - Static method in class org.ranksys.formats.preference.CompressibleBinaryPreferencesFormat: Gets an instance of this class.
get() - Static method in class org.ranksys.formats.preference.CompressibleRatingPreferencesFormat: Gets an instance of this class.
get() - Static method in class org.ranksys.formats.preference.SimpleBinaryPreferencesReader: Returns and instance of this class.
get() - Static method in class org.ranksys.formats.preference.SimpleRatingPreferencesReader: Returns and instance of this class.
get() - Method in interface org.ranksys.formats.rec.RecommendationFormat.Reader
getAllFeatures() - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
getAllFeatures() - Method in interface es.uam.eps.ir.ranksys.core.index.FeatureIndex: Retrieves a stream of the indexed features.
getAllFeatures() - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
getAllFeatures() - Method in interface es.uam.eps.ir.ranksys.fast.index.FastFeatureIndex
getAllFeatures() - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastFeatureIndex
getAllFidx() - Method in interface es.uam.eps.ir.ranksys.fast.index.FastFeatureIndex: Gets all the indices of the features.
getAllIidx() - Method in interface es.uam.eps.ir.ranksys.fast.index.FastItemIndex: Gets all the indices of the items.
getAllIidx() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getAllItems() - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
getAllItems() - Method in interface es.uam.eps.ir.ranksys.core.index.ItemIndex: Retrieves a stream of the indexed items.
getAllItems() - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
getAllItems() - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
getAllItems() - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
getAllItems() - Method in interface es.uam.eps.ir.ranksys.fast.index.FastItemIndex
getAllItems() - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastItemIndex
getAllItems() - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
getAllItems() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getAllItems() - Method in class org.ranksys.fm.PreferenceFM
getAllUidx() - Method in interface es.uam.eps.ir.ranksys.fast.index.FastUserIndex: Gets all the indices of the users.
getAllUidx() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getAllUsers() - Method in interface es.uam.eps.ir.ranksys.core.index.UserIndex: Retrieves a stream of the indexed users.
getAllUsers() - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
getAllUsers() - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
getAllUsers() - Method in interface es.uam.eps.ir.ranksys.fast.index.FastUserIndex
getAllUsers() - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastUserIndex
getAllUsers() - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
getAllUsers() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getAllUsers() - Method in class org.ranksys.fm.PreferenceFM
getBasePerm(int) - Static method in class es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker: Returns a null permutation, that is, an array with values 0..(N-1).
getFeatureItems(F) - Method in interface es.uam.eps.ir.ranksys.core.feature.FeatureData: Returns a stream of items with the feature.
getFeatureItems(F) - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
getFeatureItems(F) - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
getFeatures() - Method in class es.uam.eps.ir.ranksys.diversity.binom.BinomialModel: Returns the features considered by the model.
getFeatures() - Method in class es.uam.eps.ir.ranksys.diversity.binom.BinomialModel.UserBinomialModel: Returns the features considered by the user binomial model.
getFeaturesWithItems() - Method in interface es.uam.eps.ir.ranksys.core.feature.FeatureData: Returns a stream of features with items.
getFeaturesWithItems() - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
getFeaturesWithItems() - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
getFidxItems(int) - Method in interface es.uam.eps.ir.ranksys.fast.feature.FastFeatureData: Returns the items having a feature.
getFidxItems(int) - Method in class es.uam.eps.ir.ranksys.fast.feature.SimpleFastFeatureData
getFidxWithItems() - Method in interface es.uam.eps.ir.ranksys.fast.feature.FastFeatureData: Returns the features that are associated with items.
getFidxWithItems() - Method in class es.uam.eps.ir.ranksys.fast.feature.SimpleFastFeatureData
getFM() - Method in class org.ranksys.fm.PreferenceFM: Returns the enclosed factorisation machine.
getGainValues() - Method in class es.uam.eps.ir.ranksys.metrics.basic.NDCG.NDCGRelevanceModel.UserNDCGRelevanceModel: Get the vector of gains of the relevant items.
getIds() - Method in class es.uam.eps.ir.ranksys.fast.utils.IdxIndex: Returns a stream of the elements stored in the structure.
getIidxFeatures(int) - Method in interface es.uam.eps.ir.ranksys.fast.feature.FastFeatureData: Returns the features associated with an item.
getIidxFeatures(int) - Method in class es.uam.eps.ir.ranksys.fast.feature.SimpleFastFeatureData
getIidxPreferences(int) - Method in interface es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData: Gets the preferences of an item.
getIidxPreferences(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData
getIidxPreferences(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getIidxPreferences(int) - Method in class org.ranksys.fast.preference.IteratorsAbstractFastPreferenceData
getIidxs() - Method in class es.uam.eps.ir.ranksys.fast.FastRecommendation: Returns the list of item-score pairs identified by index.
getIidxUidxs(int) - Method in interface es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData: Returns the user idxs of the preferences for an item.
getIidxUidxs(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getIidxUidxs(int) - Method in class org.ranksys.compression.preferences.AbstractCODECPreferenceData
getIidxUidxs(int) - Method in class org.ranksys.fast.preference.StreamsAbstractFastPreferenceData
getIidxVs(int) - Method in interface es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData: Returns the user values of the preferences for an item.
getIidxVs(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getIidxVs(int) - Method in class org.ranksys.compression.preferences.BinaryCODECPreferenceData
getIidxVs(int) - Method in class org.ranksys.compression.preferences.RatingCODECPreferenceData
getIidxVs(int) - Method in class org.ranksys.fast.preference.StreamsAbstractFastPreferenceData
getIidxWithFeatures() - Method in interface es.uam.eps.ir.ranksys.fast.feature.FastFeatureData: Returns the indexes of the items with features.
getIidxWithFeatures() - Method in class es.uam.eps.ir.ranksys.fast.feature.SimpleFastFeatureData
getIidxWithPreferences() - Method in interface es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData: Returns a stream of item indexes for which users have preferences.
getIidxWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData
getIidxWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getIidxWithPreferences() - Method in class org.ranksys.compression.preferences.AbstractCODECPreferenceData
getIntents() - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.AspectModel.UserAspectModel
getIntents() - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.FeatureIntentModel.FeatureUserIntentModel: Returns the intents considered in the intent model.
getIntents() - Method in interface es.uam.eps.ir.ranksys.diversity.intentaware.IntentModel.UserIntentModel: Returns the intents considered in the intent model.
getItemFeatures(I) - Method in interface es.uam.eps.ir.ranksys.core.feature.FeatureData: Returns a stream of features of the item.
getItemFeatures(I) - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
getItemFeatures(I) - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
getItemIntents(I) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.AspectModel.UserAspectModel
getItemIntents(I) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.FeatureIntentModel.FeatureUserIntentModel: Returns the intents associated with an item.
getItemIntents(I) - Method in interface es.uam.eps.ir.ranksys.diversity.intentaware.IntentModel.UserIntentModel: Returns the intents associated with an item.
getItemMatrix() - Method in class es.uam.eps.ir.ranksys.mf.Factorization: Returns the whole item matrix.
getItemPreferences(I) - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
getItemPreferences(I) - Method in interface es.uam.eps.ir.ranksys.core.preference.PreferenceData: Returns a stream of the preferences of the item
getItemPreferences(I) - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
getItemPreferences(I) - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
getItemPreferences(U) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getItems() - Method in class es.uam.eps.ir.ranksys.core.Recommendation: Returns the list of item-score pairs.
getItemsWithFeatures() - Method in interface es.uam.eps.ir.ranksys.core.feature.FeatureData: Returns a stream of items with features.
getItemsWithFeatures() - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
getItemsWithFeatures() - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
getItemsWithPreferences() - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
getItemsWithPreferences() - Method in interface es.uam.eps.ir.ranksys.core.preference.PreferenceData: Returns a stream of the items with preferences
getItemsWithPreferences() - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
getItemsWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
getItemsWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getItemVector(I) - Method in class es.uam.eps.ir.ranksys.mf.Factorization: Returns the row of the item matrix corresponding to the given item.
getK() - Method in class es.uam.eps.ir.ranksys.mf.Factorization: Returns the dimension of the latent feature space.
getLeftChild() - Method in class org.ranksys.core.util.BinaryTree.Node: Returns the left child of this node.
getMax() - Method in class es.uam.eps.ir.ranksys.core.util.Stats: Returns the greatest value of the sample.
getMean() - Method in class es.uam.eps.ir.ranksys.core.util.Stats: Returns the mean of the sample.
getMin() - Method in class es.uam.eps.ir.ranksys.core.util.Stats: Returns the smallest value of the sample.
getModel(U) - Method in class es.uam.eps.ir.ranksys.core.model.UserModel: Returns the user model for user u.
getModel(U) - Method in class es.uam.eps.ir.ranksys.diversity.binom.BinomialModel
getModel(U) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.AspectModel
getModel(U) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.IntentModel
getModel(U) - Method in class es.uam.eps.ir.ranksys.metrics.rel.IdealRelevanceModel
getModel(U) - Method in class es.uam.eps.ir.ranksys.metrics.rel.NoRelevanceModel
getModel(U) - Method in class es.uam.eps.ir.ranksys.metrics.rel.RelevanceModel
getModel(U) - Method in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.ItemNovelty
getModel(U) - Method in class es.uam.eps.ir.ranksys.novelty.longtail.FDItemNovelty
getModel(U) - Method in class es.uam.eps.ir.ranksys.novelty.longtail.PCItemNovelty
getN() - Method in class es.uam.eps.ir.ranksys.core.util.Stats: Returns the size of the sample.
getNeighbors(int) - Method in class es.uam.eps.ir.ranksys.nn.item.neighborhood.ItemNeighborhood: Returns the neighborhood of a user/index.
getNeighbors(I) - Method in class es.uam.eps.ir.ranksys.nn.item.neighborhood.ItemNeighborhood: Returns a stream of item neighbors
getNeighbors(int) - Method in class es.uam.eps.ir.ranksys.nn.neighborhood.CachedNeighborhood: Returns the neighborhood of a user/index.
getNeighbors(int) - Method in interface es.uam.eps.ir.ranksys.nn.neighborhood.Neighborhood: Returns the neighborhood of a user/index.
getNeighbors(int) - Method in class es.uam.eps.ir.ranksys.nn.neighborhood.ThresholdNeighborhood: Returns the neighborhood of a user/index.
getNeighbors(int) - Method in class es.uam.eps.ir.ranksys.nn.neighborhood.TopKNeighborhood: Returns the neighborhood of a user/index.
getNeighbors(int) - Method in class es.uam.eps.ir.ranksys.nn.user.neighborhood.UserNeighborhood: Returns the neighborhood of a user/index.
getNeighbors(U) - Method in class es.uam.eps.ir.ranksys.nn.user.neighborhood.UserNeighborhood: Returns a stream of user neighbors
getNeighbors(int) - Method in class es.uam.eps.ir.ranksys.novelty.inverted.neighborhood.InvertedNeighborhood: Returns the neighborhood of a user/index.
getParent() - Method in class org.ranksys.core.util.BinaryTree.Node: Returns the parent node (if any) of this node.
getPreference(int, int) - Method in class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData
getPreference(U, I) - Method in class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData
getPreference(int, int) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getPreference(I, U) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getPreference(U, I) - Method in interface org.ranksys.core.preference.PointWisePreferenceData: Get preference of a user for an item.
getPreference(int, int) - Method in interface org.ranksys.fast.preference.FastPointWisePreferenceData: Get preference of a user for an item.
getPreferences(int, IntIterator, DoubleIterator) - Method in class org.ranksys.fast.preference.IteratorsAbstractFastPreferenceData: Converts the int and double iterators to a stream of IdxPref.
getReader(String) - Method in class org.ranksys.formats.rec.MahoutRecommendationFormat
getReader(File) - Method in class org.ranksys.formats.rec.MahoutRecommendationFormat
getReader(InputStream) - Method in class org.ranksys.formats.rec.MahoutRecommendationFormat
getReader(Path) - Method in interface org.ranksys.formats.rec.RecommendationFormat: Gets a reader for a file path.
getReader(String) - Method in interface org.ranksys.formats.rec.RecommendationFormat: Gets a reader for a file path.
getReader(File) - Method in interface org.ranksys.formats.rec.RecommendationFormat: Gets a reader for a file.
getReader(InputStream) - Method in interface org.ranksys.formats.rec.RecommendationFormat: Gets a reader for an input stream.
getReader(InputStream) - Method in class org.ranksys.formats.rec.TuplesRecommendationFormat
getReader(InputStream) - Method in class org.ranksys.formats.rec.ZipRecommendationFormat
getRecommendation(int, int, IntPredicate) - Method in class es.uam.eps.ir.ranksys.mf.rec.MFRecommender
getRecommendation(int, IntStream) - Method in class es.uam.eps.ir.ranksys.mf.rec.MFRecommender
getRecommendation(U, int, Predicate) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.RerankingRecommender
getRecommendation(int, int, IntPredicate) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.RerankingRecommender
getRecommendation(U) - Method in class es.uam.eps.ir.ranksys.rec.AbstractRecommender
getRecommendation(U, int) - Method in class es.uam.eps.ir.ranksys.rec.AbstractRecommender
getRecommendation(U, Predicate) - Method in class es.uam.eps.ir.ranksys.rec.AbstractRecommender
getRecommendation(U, int, Predicate) - Method in class es.uam.eps.ir.ranksys.rec.AbstractRecommender
getRecommendation(U, Stream) - Method in class es.uam.eps.ir.ranksys.rec.AbstractRecommender
getRecommendation(U, int) - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
getRecommendation(int) - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
getRecommendation(int, int) - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
getRecommendation(U, int, Predicate) - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
getRecommendation(int, IntPredicate) - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
getRecommendation(int, int, IntPredicate) - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
getRecommendation(U, Stream) - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
getRecommendation(int, IntStream) - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
getRecommendation(int, int, IntPredicate) - Method in class es.uam.eps.ir.ranksys.rec.fast.basic.PopularityRecommender
getRecommendation(int, int, IntPredicate) - Method in class es.uam.eps.ir.ranksys.rec.fast.basic.RandomRecommender
getRecommendation(U, Stream) - Method in class es.uam.eps.ir.ranksys.rec.fast.basic.RandomRecommender
getRecommendation(int, IntStream) - Method in class es.uam.eps.ir.ranksys.rec.fast.basic.RandomRecommender
getRecommendation(int, int, IntPredicate) - Method in class es.uam.eps.ir.ranksys.rec.fast.FastRankingRecommender
getRecommendation(int) - Method in interface es.uam.eps.ir.ranksys.rec.fast.FastRecommender: Free recommendation.
getRecommendation(int, int) - Method in interface es.uam.eps.ir.ranksys.rec.fast.FastRecommender: Free recommendation.
getRecommendation(int, IntPredicate) - Method in interface es.uam.eps.ir.ranksys.rec.fast.FastRecommender: Filter recommendation.
getRecommendation(int, int, IntPredicate) - Method in interface es.uam.eps.ir.ranksys.rec.fast.FastRecommender: Filter recommendation.
getRecommendation(int, IntStream) - Method in interface es.uam.eps.ir.ranksys.rec.fast.FastRecommender: Candidates ranking.
getRecommendation(U) - Method in interface es.uam.eps.ir.ranksys.rec.Recommender: Free recommendation.
getRecommendation(U, int) - Method in interface es.uam.eps.ir.ranksys.rec.Recommender: Free recommendation.
getRecommendation(U, Predicate) - Method in interface es.uam.eps.ir.ranksys.rec.Recommender: Filter recommendation.
getRecommendation(U, int, Predicate) - Method in interface es.uam.eps.ir.ranksys.rec.Recommender: Filter recommendation.
getRecommendation(U, Stream) - Method in interface es.uam.eps.ir.ranksys.rec.Recommender: Candidates ranking.
getRecommendation(int, int, IntPredicate) - Method in class org.ranksys.fm.rec.FMRecommender
getRecommendation(int, IntStream) - Method in class org.ranksys.fm.rec.FMRecommender
getRecommendation(int, int, IntPredicate) - Method in class org.ranksys.lda.LDARecommender
getRelevantItems() - Method in class es.uam.eps.ir.ranksys.metrics.basic.NDCG.NDCGRelevanceModel.UserNDCGRelevanceModel: Obtains all the items relevant to the user.
getRelevantItems() - Method in interface es.uam.eps.ir.ranksys.metrics.rel.IdealRelevanceModel.UserIdealRelevanceModel: Obtains all the items relevant to the user.
getResultFromCount(BinomialModel<U, I, F>.UserBinomialModel, Object2IntMap<F>, int, int) - Method in class es.uam.eps.ir.ranksys.diversity.binom.metrics.BinomialCoverage: Returns the value of the binomial coverage metric for a given count of features from a recommendation list.
getResultFromCount(BinomialModel<U, I, F>.UserBinomialModel, Object2IntMap<F>, int, int) - Method in class es.uam.eps.ir.ranksys.diversity.binom.metrics.BinomialDiversity: Returns the value of the binomial diversity metric for a given count of features from a recommendation list.
getResultFromCount(BinomialModel<U, I, F>.UserBinomialModel, Object2IntMap<F>, int, int) - Method in class es.uam.eps.ir.ranksys.diversity.binom.metrics.BinomialMetric: Result of the metric based on the number of times each features appears in a recommendation list.
getResultFromCount(BinomialModel<U, I, F>.UserBinomialModel, Object2IntMap<F>, int, int) - Method in class es.uam.eps.ir.ranksys.diversity.binom.metrics.BinomialNonRedundancy
getRightChild() - Method in class org.ranksys.core.util.BinaryTree.Node: Returns the right child of this node.
getRoot() - Method in class org.ranksys.core.util.BinaryTree: Returns the root node.
getScoresMap(int) - Method in class es.uam.eps.ir.ranksys.nn.item.ItemNeighborhoodRecommender: Returns a map of item-score pairs.
getScoresMap(int) - Method in class es.uam.eps.ir.ranksys.nn.user.UserNeighborhoodRecommender: Returns a map of item-score pairs.
getScoresMap(int) - Method in class es.uam.eps.ir.ranksys.rec.fast.FastRankingRecommender: Returns a map of item-score pairs.
getScoresMap(int) - Method in class org.ranksys.rec.fast.FastEnsembleRecommender: Returns a map of item-score pairs.
getStandardDeviation() - Method in class es.uam.eps.ir.ranksys.core.util.Stats: Returns the standard deviation of the sample.
getUidx() - Method in class es.uam.eps.ir.ranksys.fast.FastRecommendation: Returns the index of the user for which the recommendation is issued.
getUidxIidxs(int) - Method in interface es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData: Returns the item idxs of the preferences of a user.
getUidxIidxs(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getUidxIidxs(int) - Method in class org.ranksys.compression.preferences.AbstractCODECPreferenceData
getUidxIidxs(int) - Method in class org.ranksys.fast.preference.StreamsAbstractFastPreferenceData
getUidxPreferences(int) - Method in interface es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData: Gets the preferences of a user.
getUidxPreferences(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData
getUidxPreferences(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getUidxPreferences(int) - Method in class org.ranksys.fast.preference.IteratorsAbstractFastPreferenceData
getUidxVs(int) - Method in interface es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData: Returns the item values of the preferences of a user.
getUidxVs(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getUidxVs(int) - Method in class org.ranksys.compression.preferences.BinaryCODECPreferenceData
getUidxVs(int) - Method in class org.ranksys.compression.preferences.RatingCODECPreferenceData
getUidxVs(int) - Method in class org.ranksys.fast.preference.StreamsAbstractFastPreferenceData
getUidxWithPreferences() - Method in interface es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData: Returns a stream of user indexes who have preferences for items.
getUidxWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData
getUidxWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getUidxWithPreferences() - Method in class org.ranksys.compression.preferences.AbstractCODECPreferenceData
getUser() - Method in class es.uam.eps.ir.ranksys.core.Recommendation: Returns the user that receives the recommendation.
getUserMatrix() - Method in class es.uam.eps.ir.ranksys.mf.Factorization: Returns the whole user matrix.
getUserPreferences(U) - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
getUserPreferences(U) - Method in interface es.uam.eps.ir.ranksys.core.preference.PreferenceData: Returns a stream of the preferences of the user
getUserPreferences(U) - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
getUserPreferences(U) - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
getUserPreferences(I) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getUserReranker(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialCoverageReranker
getUserReranker(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialDiversityReranker
getUserReranker(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialNonRedundancyReranker
getUserReranker(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.diversity.distance.reranking.MMR
getUserReranker(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.reranking.AlphaXQuAD
getUserReranker(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker: Returns an instance of GreedyReranker.GreedyUserReranker that does the greedy selection.
getUserReranker(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker
getUserReranker(Recommendation<U, I>, int) - Method in class org.ranksys.diversity.prop.reranking.PM
getUsersWithPreferences() - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
getUsersWithPreferences() - Method in interface es.uam.eps.ir.ranksys.core.preference.PreferenceData: Returns a stream of the users with preferences
getUsersWithPreferences() - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
getUsersWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
getUsersWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
getUserVector(U) - Method in class es.uam.eps.ir.ranksys.mf.Factorization: Returns the row of the user matrix corresponding to the given user.
getVariance() - Method in class es.uam.eps.ir.ranksys.core.util.Stats: Returns the variance of the sample.
getWriter(String) - Method in class org.ranksys.formats.rec.MahoutRecommendationFormat
getWriter(File) - Method in class org.ranksys.formats.rec.MahoutRecommendationFormat
getWriter(OutputStream) - Method in class org.ranksys.formats.rec.MahoutRecommendationFormat
getWriter(Path) - Method in interface org.ranksys.formats.rec.RecommendationFormat: Gets a writer for a file path.
getWriter(String) - Method in interface org.ranksys.formats.rec.RecommendationFormat: Gets a writer for a file path.
getWriter(File) - Method in interface org.ranksys.formats.rec.RecommendationFormat: Gets a writer for a file.
getWriter(OutputStream) - Method in interface org.ranksys.formats.rec.RecommendationFormat: Gets a writer for an output stream.
getWriter(OutputStream) - Method in class org.ranksys.formats.rec.TuplesRecommendationFormat
getWriter(OutputStream) - Method in class org.ranksys.formats.rec.ZipRecommendationFormat
GiniIndex<U,I> - Class in es.uam.eps.ir.ranksys.diversity.sales.metrics: Gini index sales diversity metric.
GiniIndex(int, int) - Constructor for class es.uam.eps.ir.ranksys.diversity.sales.metrics.GiniIndex: Constructor.
GiniSimpsonIndex<U,I> - Class in es.uam.eps.ir.ranksys.diversity.sales.metrics: Gini-Simpson index sales diversity metric.
GiniSimpsonIndex(int) - Constructor for class es.uam.eps.ir.ranksys.diversity.sales.metrics.GiniSimpsonIndex: Constructor.
GreedyReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking: Greedy re-ranking.
GreedyReranker(int) - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker: Constructor.
GreedyReranker.GreedyUserReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking: Re-ranker of a single recommendation.
GreedyUserReranker(Recommendation<U, I>, int) - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker: Constructor

H

hashCode() - Method in class org.ranksys.core.util.tuples.Tuple2id
hashCode() - Method in class org.ranksys.core.util.tuples.Tuple2io
hashCode() - Method in class org.ranksys.core.util.tuples.Tuple2od
hasNext() - Method in class org.ranksys.core.util.iterators.ArrayDoubleIterator
hasNext() - Method in class org.ranksys.core.util.iterators.ArrayIntIterator
hasNext() - Method in class org.ranksys.core.util.iterators.StreamDoubleIterator
hasNext() - Method in class org.ranksys.core.util.iterators.StreamIntIterator
HKVFactorizer<U,I> - Class in es.uam.eps.ir.ranksys.mf.als: Implicit matrix factorization of Hu, Koren and Volinsky.
HKVFactorizer(double, DoubleUnaryOperator, int) - Constructor for class es.uam.eps.ir.ranksys.mf.als.HKVFactorizer: Constructor.
HKVFactorizer(double, double, DoubleUnaryOperator, int) - Constructor for class es.uam.eps.ir.ranksys.mf.als.HKVFactorizer: Constructor.

I

i_codec - Variable in class org.ranksys.compression.preferences.AbstractCODECPreferenceData: CODEC for item preferences.
i_idxs - Variable in class org.ranksys.compression.preferences.AbstractCODECPreferenceData: list of users for items.
i_len - Variable in class org.ranksys.compression.preferences.AbstractCODECPreferenceData: lengths of item preferences lists.
i_vs - Variable in class org.ranksys.compression.preferences.RatingCODECPreferenceData: list ratings for items.
IdealRelevanceModel<U,I> - Class in es.uam.eps.ir.ranksys.metrics.rel: Relevance model in which there is full, a-priori knowledge of the relevance of all the items in the collection.
IdealRelevanceModel(boolean, Stream) - Constructor for class es.uam.eps.ir.ranksys.metrics.rel.IdealRelevanceModel: Full constructor: allows to specify whether to cache the user relevance models and for which users.
IdealRelevanceModel() - Constructor for class es.uam.eps.ir.ranksys.metrics.rel.IdealRelevanceModel: No caching constructor.
IdealRelevanceModel(Stream) - Constructor for class es.uam.eps.ir.ranksys.metrics.rel.IdealRelevanceModel: Caching constructor.
IdealRelevanceModel.UserIdealRelevanceModel<U,I> - Interface in es.uam.eps.ir.ranksys.metrics.rel: User relevance model for IdealRelevanceModel
IdPref - Class in es.uam.eps.ir.ranksys.core.preference: A user or item preference.
IdPref(I, double) - Constructor for class es.uam.eps.ir.ranksys.core.preference.IdPref: Constructor with both values.
IdPref(Tuple2od) - Constructor for class es.uam.eps.ir.ranksys.core.preference.IdPref: Constructor from a object-double pair.
IdxIndex<T> - Class in es.uam.eps.ir.ranksys.fast.utils: Bi-map-like structure to back fast version of user/item/feature indexes.
IdxIndex() - Constructor for class es.uam.eps.ir.ranksys.fast.utils.IdxIndex: Constructor.
IdxPref - Class in es.uam.eps.ir.ranksys.fast.preference: A user or item preference by indexes.
IdxPref(int, double) - Constructor for class es.uam.eps.ir.ranksys.fast.preference.IdxPref: Constructor with both values.
IdxPref(Tuple2id) - Constructor for class es.uam.eps.ir.ranksys.fast.preference.IdxPref: Constructor from tuple
ii - Variable in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData: item index.
iidx2item(int) - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
iidx2item(int) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastItemIndex: Returns the item represented with the index.
iidx2item(Tuple2io<V>) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastItemIndex: Applies FastItemIndex::iidx2item to the first element of the tuple.
iidx2item(Tuple2id) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastItemIndex: Applies FastItemIndex::iidx2item to the first element of the tuple.
iidx2item(int) - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastItemIndex
iidx2item(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
iidx2item(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
iidx2item(int) - Method in class es.uam.eps.ir.ranksys.mf.Factorization
iidx2item(int) - Method in class es.uam.eps.ir.ranksys.nn.item.neighborhood.ItemNeighborhood
iidx2item(int) - Method in class es.uam.eps.ir.ranksys.nn.item.sim.ItemSimilarity
iidx2item(int) - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
iidx2item(int) - Method in class org.ranksys.fast.preference.AbstractFastPreferenceSampler
iidx2item(int) - Method in class org.ranksys.fm.PreferenceFM
iIndex - Variable in class es.uam.eps.ir.ranksys.mf.Factorization: item index
iIndex - Variable in class es.uam.eps.ir.ranksys.nn.item.neighborhood.ItemNeighborhood: Fast item index.
iIndex - Variable in class es.uam.eps.ir.ranksys.nn.item.sim.ItemSimilarity: Fast item index.
iIndex - Variable in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender: Fast item index.
initialize() - Method in class es.uam.eps.ir.ranksys.core.model.UserModel: Start the caching of the users.
initializeWithItems(List<Tuple2od>) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.AspectModel.UserAspectModel: Initialises the model with items.
initializeWithItems(List<Tuple2od>) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.ScoresAspectModel.ScoresUserAspectModel
initializeWithItems(List<Tuple2od>) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.ScoresRelevanceAspectModel.ScoresUserRelevanceAspectModel
IntDoubleTopN - Class in es.uam.eps.ir.ranksys.fast.utils.topn: Bounded min-heap to keep just the top-n greatest integer-double pairs according to the value of the double.
IntDoubleTopN(int) - Constructor for class es.uam.eps.ir.ranksys.fast.utils.topn.IntDoubleTopN: Constructor.
IntegratedFORVBCODEC - Class in org.ranksys.compression.codecs.lemire: Integrated Frame of Reference coding (with Variable Byte as fallback).
IntegratedFORVBCODEC() - Constructor for class org.ranksys.compression.codecs.lemire.IntegratedFORVBCODEC: Constructor.
IntegratedVByteCODEC - Class in org.ranksys.compression.codecs.lemire: Integrated Variable Byte coding.
IntegratedVByteCODEC() - Constructor for class org.ranksys.compression.codecs.lemire.IntegratedVByteCODEC: Constructor.
intentModel - Variable in class es.uam.eps.ir.ranksys.diversity.intentaware.AspectModel: Intent model
IntentModel<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.intentaware: Intent-aware model.
IntentModel(Stream) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.IntentModel: Constructor that caches user intent-aware models.
IntentModel() - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.IntentModel: Constructor that does not cache user intent-aware models.
IntentModel.UserIntentModel<U,I,F> - Interface in es.uam.eps.ir.ranksys.diversity.intentaware: User intent-aware model for IntentModel.
InvertedItemNeighborhood - Class in es.uam.eps.ir.ranksys.novelty.inverted.neighborhood: Inverted item neighborhood.
InvertedItemNeighborhood(ItemNeighborhood) - Constructor for class es.uam.eps.ir.ranksys.novelty.inverted.neighborhood.InvertedItemNeighborhood: Constructor.
InvertedNeighborhood - Class in es.uam.eps.ir.ranksys.novelty.inverted.neighborhood: Inverted neighborhood.
InvertedNeighborhood(int, Neighborhood, IntPredicate) - Constructor for class es.uam.eps.ir.ranksys.novelty.inverted.neighborhood.InvertedNeighborhood: Constructor.
InvertedUserNeighborhood - Class in es.uam.eps.ir.ranksys.novelty.inverted.neighborhood: Inverted user neighborhood.
InvertedUserNeighborhood(UserNeighborhood, Predicate) - Constructor for class es.uam.eps.ir.ranksys.novelty.inverted.neighborhood.InvertedUserNeighborhood: Constructor.
InvertedUserNeighborhood(UserNeighborhood, IntPredicate) - Constructor for class es.uam.eps.ir.ranksys.novelty.inverted.neighborhood.InvertedUserNeighborhood: Constructor - fast version.
ip - Static variable in class org.ranksys.formats.parsing.Parsers: Parse to Integer.
iPrefFun - Variable in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData: Converter from IdxPref to IdPref (preference from user).
ISD<U,I> - Class in es.uam.eps.ir.ranksys.novelty.sales.metrics: Inter-system diversity.
ISD(int, int, Function<U, List<List>>) - Constructor for class es.uam.eps.ir.ranksys.novelty.sales.metrics.ISD: Constructor.
ISDCItemNovelty<U,I> - Class in es.uam.eps.ir.ranksys.novelty.sales: Inter-System Discovery Complement item novelty model.
ISDCItemNovelty(int, Function<U, List<List>>, RankingDiscountModel) - Constructor for class es.uam.eps.ir.ranksys.novelty.sales.ISDCItemNovelty: Constructor
ISDCItemNoveltyReranker<U,I> - Class in es.uam.eps.ir.ranksys.novelty.sales.reranking: Inter-System Discovery Complement re-ranker.
ISDCItemNoveltyReranker(double, ISDCItemNovelty<U, I>, boolean) - Constructor for class es.uam.eps.ir.ranksys.novelty.sales.reranking.ISDCItemNoveltyReranker: Constructor.
isIntegrated() - Method in interface org.ranksys.compression.codecs.CODEC: Returns if the CODEC is integrated, i.e.
isIntegrated() - Method in class org.ranksys.compression.codecs.dsi.BitStreamCODEC
isIntegrated() - Method in class org.ranksys.compression.codecs.dsi.EliasFanoBitStreamCODEC
isIntegrated() - Method in class org.ranksys.compression.codecs.lemire.FastPFORVBCODEC
isIntegrated() - Method in class org.ranksys.compression.codecs.lemire.LemireCODEC
isIntegrated() - Method in class org.ranksys.compression.codecs.NullCODEC
isLeaf() - Method in class org.ranksys.core.util.BinaryTree.Node: Determines whether the node is a leaf in the tree.
isRelevant(I) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.metrics.ERRIA.ERRRelevanceModel.UserERRRelevanceModel
isRelevant(I) - Method in class es.uam.eps.ir.ranksys.metrics.basic.NDCG.NDCGRelevanceModel.UserNDCGRelevanceModel: Determines whether an item is relevant to the user or not
isRelevant(I) - Method in interface es.uam.eps.ir.ranksys.metrics.rel.RelevanceModel.UserRelevanceModel: Determines whether an item is relevant to the user or not
item2iidx(I) - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
item2iidx(I) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastItemIndex: Returns the index assigned to the item.
item2iidx(Tuple2<I, V>) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastItemIndex: Applies FastItemIndex::item2iidx to the first element of the tuple.
item2iidx(Tuple2od) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastItemIndex: Applies FastItemIndex::item2iidx to the first element of the tuple.
item2iidx(I) - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastItemIndex
item2iidx(I) - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
item2iidx(U) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
item2iidx(I) - Method in class es.uam.eps.ir.ranksys.mf.Factorization
item2iidx(I) - Method in class es.uam.eps.ir.ranksys.nn.item.neighborhood.ItemNeighborhood
item2iidx(I) - Method in class es.uam.eps.ir.ranksys.nn.item.sim.ItemSimilarity
item2iidx(I) - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
item2iidx(I) - Method in class org.ranksys.fast.preference.AbstractFastPreferenceSampler
item2iidx(I) - Method in class org.ranksys.fm.PreferenceFM
itemCount - Variable in class es.uam.eps.ir.ranksys.diversity.sales.metrics.AbstractSalesDiversityMetric: Map of item-count.
ItemDistanceModel - Interface in es.uam.eps.ir.ranksys.novdiv.distance: Item distance model.
ItemIndex - Interface in es.uam.eps.ir.ranksys.core.index: Index for a set of items.
itemMatrix - Variable in class es.uam.eps.ir.ranksys.mf.Factorization: item matrix
ItemNeighborhood - Class in es.uam.eps.ir.ranksys.nn.item.neighborhood: Item neighborhood.
ItemNeighborhood(FastItemIndex, Neighborhood) - Constructor for class es.uam.eps.ir.ranksys.nn.item.neighborhood.ItemNeighborhood: Constructor.
ItemNeighborhoodRecommender<U,I> - Class in es.uam.eps.ir.ranksys.nn.item: Item-based nearest neighbors recommender.
ItemNeighborhoodRecommender(FastPreferenceData<U, I>, ItemNeighborhood, int) - Constructor for class es.uam.eps.ir.ranksys.nn.item.ItemNeighborhoodRecommender: Constructor.
ItemNovelty<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.itemnovelty: Item novelty model.
ItemNovelty(boolean, Stream) - Constructor for class es.uam.eps.ir.ranksys.novdiv.itemnovelty.ItemNovelty: Constructor.
ItemNovelty() - Constructor for class es.uam.eps.ir.ranksys.novdiv.itemnovelty.ItemNovelty: Constructor in which no caching is done.
ItemNovelty(Stream) - Constructor for class es.uam.eps.ir.ranksys.novdiv.itemnovelty.ItemNovelty: Constructor in which caching is done.
ItemNovelty.UserItemNoveltyModel<U,I> - Interface in es.uam.eps.ir.ranksys.novdiv.itemnovelty: Item novelty model for a user.
ItemNoveltyMetric<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics: Item novelty metric.
ItemNoveltyMetric(int, ItemNovelty<U, I>, RelevanceModel<U, I>, RankingDiscountModel) - Constructor for class es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics.ItemNoveltyMetric: Constructor.
ItemNoveltyReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking: Item Novelty re-ranker.
ItemNoveltyReranker(double, ItemNovelty<U, I>, boolean) - Constructor for class es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking.ItemNoveltyReranker: Constructor.
ItemSimilarity - Class in es.uam.eps.ir.ranksys.nn.item.sim: Item similarity.
ItemSimilarity(FastItemIndex, Similarity) - Constructor for class es.uam.eps.ir.ranksys.nn.item.sim.ItemSimilarity: Constructor.
ItemsReader - Class in org.ranksys.formats.index: Reader for lists of items.
ItemsReader() - Constructor for class org.ranksys.formats.index.ItemsReader
itemWeight - Variable in class es.uam.eps.ir.ranksys.diversity.sales.metrics.AbstractSalesDiversityMetric: Map of item-weight.
iterator() - Method in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN
IteratorsAbstractFastPreferenceData<U,I> - Class in org.ranksys.fast.preference: Extends AbstractFastPreferenceData and implements the data access stream-based methods using the iterator-based ones.
IteratorsAbstractFastPreferenceData(FastUserIndex, FastItemIndex) - Constructor for class org.ranksys.fast.preference.IteratorsAbstractFastPreferenceData: Constructor with default IdxPref to IdPref converter.
IteratorsAbstractFastPreferenceData(FastUserIndex, FastItemIndex, Function<IdxPref, IdPref>, Function<IdxPref, IdPref>) - Constructor for class org.ranksys.fast.preference.IteratorsAbstractFastPreferenceData: Constructor with custom IdxPref to IdPref converter.
IUD<U,I> - Class in es.uam.eps.ir.ranksys.diversity.sales.metrics: Inter-user diversity.
IUD(int) - Constructor for class es.uam.eps.ir.ranksys.diversity.sales.metrics.IUD: Constructor.

J

JaccardFeatureItemDistanceModel<I,F> - Class in es.uam.eps.ir.ranksys.novdiv.distance: Vector Jaccard item distance model.
JaccardFeatureItemDistanceModel(FeatureData<I, F, Double>) - Constructor for class es.uam.eps.ir.ranksys.novdiv.distance.JaccardFeatureItemDistanceModel: Constructor.

K

K - Variable in class es.uam.eps.ir.ranksys.mf.Factorization: dimensionality of the vector space
KCall<U,I> - Class in org.ranksys.metrics.basic: K-call metric.
KCall(int, int, RelevanceModel<U, I>) - Constructor for class org.ranksys.metrics.basic.KCall: Constructor.

L

lambda - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker: Trade-off parameter of the linear combination.
LambdaReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking: Linear combination re-ranker that combines the original score of the input recommendation and a novelty component.
LambdaReranker(double, int, boolean) - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker: Constructor.
LambdaReranker.LambdaUserReranker - Class in es.uam.eps.ir.ranksys.novdiv.reranking: User re-ranker for LambdaReranker.
LambdaUserReranker(Recommendation<U, I>, int) - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker: Constructor.
Lazy<T> - Class in es.uam.eps.ir.ranksys.core.util: Lazy initializer implementing the Supplier interface.
Lazy(Supplier<T>) - Constructor for class es.uam.eps.ir.ranksys.core.util.Lazy: Constructor.
LDAModelEstimator - Class in org.ranksys.lda: LDA model estimator.
LDAModelEstimator() - Constructor for class org.ranksys.lda.LDAModelEstimator
LDARecommender<U,I> - Class in org.ranksys.lda: LDA recommender.
LDARecommender(FastUserIndex, FastItemIndex, ParallelTopicModel) - Constructor for class org.ranksys.lda.LDARecommender: Constructor
LemireCODEC - Class in org.ranksys.compression.codecs.lemire: Wrapper for Lemire's JavaFastPFOR integer compression library.
LemireCODEC(Supplier<IntegerCODEC>) - Constructor for class org.ranksys.compression.codecs.lemire.LemireCODEC: Constructor.
likelihood(Tuple2od) - Method in class es.uam.eps.ir.ranksys.novelty.inverted.br.AlphaBayesRuleReranker
likelihood(Tuple2od) - Method in class es.uam.eps.ir.ranksys.novelty.inverted.br.BayesRuleReranker: Returns the likelihood of an item: p(u | i).
load(Stream<Tuple3<I, F, V>>) - Static method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData: Loads an instance of the class from a stream of triples.
load(Stream<Tuple3<U, I, Double>>) - Static method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData: Loads a SimplePreferenceData from a stream of user-item-value triples.
load(Stream<Tuple4<U, I, Double, O>>, Function4<U, I, Double, O, ? extends IdPref>, Function4<U, I, Double, O, ? extends IdPref>) - Static method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData: Loads an instance of the class from a stream of tuples possibly containing extra information.
load(Stream<Tuple3<I, F, V>>, FastItemIndex, FastFeatureIndex<F>) - Static method in class es.uam.eps.ir.ranksys.fast.feature.SimpleFastFeatureData: Loads a SimpleFastFeatureData by processing a stream of item-feature-value triples.
load(Stream<F>) - Static method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastFeatureIndex: Creates a feature index from a stream of feature objects.
load(Stream) - Static method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastItemIndex: Creates an item index from a stream of item objects.
load(Stream) - Static method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastUserIndex: Creates a user index from a stream of user objects.
load(Stream<Tuple3<U, I, Double>>, FastUserIndex, FastItemIndex) - Static method in class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData: Loads a SimpleFastPreferenceData from a stream of user-item-value triples.
load(Stream<Tuple4<U, I, Double, O>>, Function4<Integer, Integer, Double, O, ? extends IdxPref>, Function4<Integer, Integer, Double, O, ? extends IdxPref>, FastUserIndex, FastItemIndex, Function<IdxPref, IdPref>, Function<IdxPref, IdPref>) - Static method in class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData: Loads a SimpleFastPreferenceData from a stream of user-item-value-other tuples.
load(InputStream, FastUserIndex, FastItemIndex) - Method in interface org.ranksys.formats.factorization.FactorizationFormat: Loads a matrix from a compressed input stream.
load(InputStream, FastUserIndex, FastItemIndex) - Method in interface org.ranksys.formats.factorization.FMFormat: Loads a factorisation machine from an input stream.
load(InputStream, FastUserIndex, FastItemIndex) - Method in class org.ranksys.formats.factorization.SimpleFactorizationFormat
load(InputStream, FastUserIndex, FastItemIndex) - Method in class org.ranksys.formats.factorization.SimpleFMFormat
LogarithmicDiscountModel - Class in es.uam.eps.ir.ranksys.metrics.rank: Logarithmic discount: disc(k) = 1 / log_2(k + 2).
LogarithmicDiscountModel() - Constructor for class es.uam.eps.ir.ranksys.metrics.rank.LogarithmicDiscountModel
longing(F, int) - Method in class es.uam.eps.ir.ranksys.diversity.binom.BinomialModel.UserBinomialModel: Returns the longing, i.e., how much the feature would be missed if not included in a recommendation list of a given size.
lp - Static variable in class org.ranksys.formats.parsing.Parsers: Parse to Long.

M

MahoutRecommendationFormat<U,I> - Class in org.ranksys.formats.rec: Reader for Mahout-like recommendations.
MahoutRecommendationFormat(Parser, Parser) - Constructor for class org.ranksys.formats.rec.MahoutRecommendationFormat: Constructor.
main(String[]) - Static method in class es.uam.eps.ir.ranksys.examples.MetricExample
main(String[]) - Static method in class es.uam.eps.ir.ranksys.examples.RecommenderExample
main(String[]) - Static method in class es.uam.eps.ir.ranksys.examples.RerankerExample
main(String[]) - Static method in class org.ranksys.examples.CompressionExample
maxLength - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker: maximum length of the re-ranked recommendation
MetricExample - Class in es.uam.eps.ir.ranksys.examples: Example main of metrics.
MetricExample() - Constructor for class es.uam.eps.ir.ranksys.examples.MetricExample
MFRecommender<U,I> - Class in es.uam.eps.ir.ranksys.mf.rec: Matrix factorization recommender.
MFRecommender(FastUserIndex, FastItemIndex, Factorization<U, I>) - Constructor for class es.uam.eps.ir.ranksys.mf.rec.MFRecommender: Constructor.
MMR<U,I> - Class in es.uam.eps.ir.ranksys.diversity.distance.reranking: Maximum marginal relevance re-ranker.
MMR(double, int, ItemDistanceModel) - Constructor for class es.uam.eps.ir.ranksys.diversity.distance.reranking.MMR: Constructor.
MMR.UserMMR - Class in es.uam.eps.ir.ranksys.diversity.distance.reranking: User re-ranker for MMR.

N

NDCG<U,I> - Class in es.uam.eps.ir.ranksys.metrics.basic: Normalized Discounted Cumulative Gain metric.
NDCG(int, NDCG.NDCGRelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.metrics.basic.NDCG: Constructor.
NDCG.NDCGRelevanceModel<U,I> - Class in es.uam.eps.ir.ranksys.metrics.basic: Relevance model for nDCG, in which the gains of all relevant documents need to be known for the normalization of the metric.
NDCG.NDCGRelevanceModel.UserNDCGRelevanceModel - Class in es.uam.eps.ir.ranksys.metrics.basic: User relevance model for nDCG.
NDCGRelevanceModel(boolean, PreferenceData<U, I>, double) - Constructor for class es.uam.eps.ir.ranksys.metrics.basic.NDCG.NDCGRelevanceModel: Constructors.
neighborhood - Variable in class es.uam.eps.ir.ranksys.nn.item.ItemNeighborhoodRecommender: Item neighborhoods.
neighborhood - Variable in class es.uam.eps.ir.ranksys.nn.item.neighborhood.ItemNeighborhood: Generic neighborhood.
Neighborhood - Interface in es.uam.eps.ir.ranksys.nn.neighborhood: Generic fast neighborhood.
neighborhood - Variable in class es.uam.eps.ir.ranksys.nn.user.neighborhood.UserNeighborhood: Generic fast neighborhood.
neighborhood - Variable in class es.uam.eps.ir.ranksys.nn.user.UserNeighborhoodRecommender: User neighborhood.
NewPFDVBCODEC - Class in org.ranksys.compression.codecs.lemire: NewPFD (with Variable Byte as fallback).
NewPFDVBCODEC() - Constructor for class org.ranksys.compression.codecs.lemire.NewPFDVBCODEC: Constructor.
next() - Method in class org.ranksys.core.util.iterators.ArrayDoubleIterator
next() - Method in class org.ranksys.core.util.iterators.ArrayIntIterator
next() - Method in class org.ranksys.core.util.iterators.StreamDoubleIterator
next() - Method in class org.ranksys.core.util.iterators.StreamIntIterator
nextDouble() - Method in class org.ranksys.core.util.iterators.ArrayDoubleIterator
nextDouble() - Method in class org.ranksys.core.util.iterators.StreamDoubleIterator
nextInt() - Method in class org.ranksys.core.util.iterators.ArrayIntIterator
nextInt() - Method in class org.ranksys.core.util.iterators.StreamIntIterator
Node() - Constructor for class org.ranksys.core.util.BinaryTree.Node: Constructor.
NoDiscountModel - Class in es.uam.eps.ir.ranksys.metrics.rank: No discount: disc(k) = 1.
NoDiscountModel() - Constructor for class es.uam.eps.ir.ranksys.metrics.rank.NoDiscountModel
nonRedundancy(BinomialModel<U, I, F>.UserBinomialModel, Object2IntMap<F>, int) - Static method in class es.uam.eps.ir.ranksys.diversity.binom.metrics.BinomialNonRedundancy: Returns the value of the binomial redundancy metric for a given count of features from a recommendation list.
NoRelevanceModel<U,I> - Class in es.uam.eps.ir.ranksys.metrics.rel: Relevance model in which every item is judged as relevant.
NoRelevanceModel() - Constructor for class es.uam.eps.ir.ranksys.metrics.rel.NoRelevanceModel: Constructor.
norm(double, Stats) - Method in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking.ItemNoveltyReranker: Returns the normalized value of a relevance or novelty score.
norm(double, Stats) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker: Returns the normalized value of a relevance or novelty score.
norm2Array - Variable in class es.uam.eps.ir.ranksys.nn.sim.VectorSimilarity: Cached normalization for when dense is true.
norm2Map - Variable in class es.uam.eps.ir.ranksys.nn.sim.VectorSimilarity: Cached normalization for when dense is false.
notInTrain(FastPreferenceData<U, I>) - Static method in class es.uam.eps.ir.ranksys.rec.runner.fast.FastFilters: Item filter that discards items in the training preference data.
notInTrain(PreferenceData<U, I>) - Static method in class es.uam.eps.ir.ranksys.rec.runner.Filters: Item filter that discards items in the training preference data.
notSelf(FastUserIndex) - Static method in class es.uam.eps.ir.ranksys.rec.runner.fast.FastFilters: For social network recommendations, void a user being recommended to herself.
notSelf() - Static method in class es.uam.eps.ir.ranksys.rec.runner.Filters: For social network recommendations, void a user being recommended to herself.
nov(Tuple2od) - Method in class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialCoverageReranker.BinomialCoverageUserReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialDiversityReranker.BinomialDiversityUserReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialNonRedundancyReranker.BinomialNonRedundancyUserReranker
nov(Tuple2od) - Method in class es.uam.eps.ir.ranksys.diversity.distance.reranking.MMR.UserMMR
nov(Tuple2od) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.reranking.AlphaXQuAD.UserAlphaXQuAD
nov(I) - Method in class es.uam.eps.ir.ranksys.diversity.sales.metrics.AbstractSalesDiversityMetric: Returns the sales novelty of an item.
nov(I) - Method in class es.uam.eps.ir.ranksys.diversity.sales.metrics.EIUDC
nov(I) - Method in class es.uam.eps.ir.ranksys.diversity.sales.metrics.EIUFD: Returns the sales novelty of an item.
nov(I) - Method in class es.uam.eps.ir.ranksys.diversity.sales.metrics.EIURD: Returns the sales novelty of an item.
nov(I) - Method in class es.uam.eps.ir.ranksys.diversity.sales.metrics.GiniIndex: Returns the sales novelty of an item.
nov(Tuple2od) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker: Returns the novelty score of an item.
novelty(I) - Method in interface es.uam.eps.ir.ranksys.novdiv.itemnovelty.ItemNovelty.UserItemNoveltyModel: Returns the novelty of an item
novelty - Variable in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics.ItemNoveltyMetric: item novelty model
novMap - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker: Map of the novelty of each item.
novStats - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker: Statistics about novelty scores.
NullCODEC - Class in org.ranksys.compression.codecs: Empty CODEC that does not do anything but copying the array.
NullCODEC() - Constructor for class org.ranksys.compression.codecs.NullCODEC
NullReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking: Null re-ranker that does not perform an actual re-ranking.
NullReranker() - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.NullReranker
numFeatures(I) - Method in interface es.uam.eps.ir.ranksys.core.feature.FeatureData: Returns the number of features of the item.
numFeatures() - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
numFeatures(I) - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
numFeatures() - Method in interface es.uam.eps.ir.ranksys.core.index.FeatureIndex: Counts the number of indexed features.
numFeatures(I) - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
numFeatures() - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
numFeatures(int) - Method in interface es.uam.eps.ir.ranksys.fast.feature.FastFeatureData: Returns the number of features associated with an item.
numFeatures(int) - Method in class es.uam.eps.ir.ranksys.fast.feature.SimpleFastFeatureData
numFeatures() - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastFeatureIndex
numFeatures() - Method in class org.ranksys.fm.data.BPRPreferenceFMData
numFeatures() - Method in class org.ranksys.fm.data.OneClassPreferenceFMData
numFeaturesWithItems() - Method in interface es.uam.eps.ir.ranksys.core.feature.FeatureData: Returns the number of features with items.
numFeaturesWithItems() - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
numFeaturesWithItems() - Method in class es.uam.eps.ir.ranksys.fast.feature.SimpleFastFeatureData
numInstances() - Method in class org.ranksys.fm.data.BPRPreferenceFMData
numInstances() - Method in class org.ranksys.fm.data.OneClassPreferenceFMData
numItems(F) - Method in interface es.uam.eps.ir.ranksys.core.feature.FeatureData: Returns the number of items with the feature.
numItems() - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
numItems(F) - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
numItems() - Method in interface es.uam.eps.ir.ranksys.core.index.ItemIndex: Counts the number of indexed items.
numItems() - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
numItems(U) - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
numItems(U) - Method in interface es.uam.eps.ir.ranksys.core.preference.PreferenceData: Returns the number of items with preference for user u
numItems() - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
numItems(U) - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
numItems(F) - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
numItems() - Method in class es.uam.eps.ir.ranksys.fast.feature.AbstractFastFeatureData
numItems(int) - Method in interface es.uam.eps.ir.ranksys.fast.feature.FastFeatureData: Returns the number of items having a feature.
numItems(int) - Method in class es.uam.eps.ir.ranksys.fast.feature.SimpleFastFeatureData
numItems() - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastItemIndex
numItems() - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
numItems(U) - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
numItems(int) - Method in interface es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData: Returns the number of items for which the user has preference for.
numItems(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData
numItems(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
numItems() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
numItems(I) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
numItems() - Method in class es.uam.eps.ir.ranksys.mf.Factorization
numItems() - Method in class es.uam.eps.ir.ranksys.nn.item.neighborhood.ItemNeighborhood
numItems() - Method in class es.uam.eps.ir.ranksys.nn.item.sim.ItemSimilarity
numItems() - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
numItems(int) - Method in class org.ranksys.compression.preferences.AbstractCODECPreferenceData
numItems() - Method in class org.ranksys.fast.preference.AbstractFastPreferenceSampler
numItems() - Method in class org.ranksys.fm.PreferenceFM
numItemsWithFeatures() - Method in interface es.uam.eps.ir.ranksys.core.feature.FeatureData: Returns the number of items with features.
numItemsWithFeatures() - Method in class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData
numItemsWithFeatures() - Method in class es.uam.eps.ir.ranksys.fast.feature.SimpleFastFeatureData
numItemsWithPreferences() - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
numItemsWithPreferences() - Method in interface es.uam.eps.ir.ranksys.core.preference.PreferenceData: Returns the number of items with preferences.
numItemsWithPreferences() - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
numItemsWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
numItemsWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData
numItemsWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
numNodes() - Method in class org.ranksys.core.util.BinaryTree.Node: Computes recursively the number of nodes under the current node, including itself.
numNodes() - Method in class org.ranksys.core.util.BinaryTree: Returns the number of nodes in the tree.
numPreferences() - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
numPreferences() - Method in interface es.uam.eps.ir.ranksys.core.preference.PreferenceData: Returns the total number of preferences
numPreferences() - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
numPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData
numPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
numPreferences() - Method in class org.ranksys.compression.preferences.AbstractCODECPreferenceData
NumRetrieved<U,I> - Class in es.uam.eps.ir.ranksys.metrics.basic: Number of recommended items.
NumRetrieved() - Constructor for class es.uam.eps.ir.ranksys.metrics.basic.NumRetrieved
numUsers() - Method in interface es.uam.eps.ir.ranksys.core.index.UserIndex: Counts the number of indexed users.
numUsers() - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
numUsers(I) - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
numUsers(I) - Method in interface es.uam.eps.ir.ranksys.core.preference.PreferenceData: Returns the number of users with preference for item i
numUsers() - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
numUsers(I) - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
numUsers - Variable in class es.uam.eps.ir.ranksys.diversity.sales.metrics.AbstractSalesDiversityMetric: Number of users.
numUsers() - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastUserIndex
numUsers() - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
numUsers(I) - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
numUsers(int) - Method in interface es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData: Returns the number of users who have a preference for the item.
numUsers(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData
numUsers(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
numUsers() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
numUsers(U) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
numUsers() - Method in class es.uam.eps.ir.ranksys.mf.Factorization
numUsers() - Method in class es.uam.eps.ir.ranksys.nn.user.neighborhood.UserNeighborhood
numUsers() - Method in class es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity
numUsers() - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
numUsers(int) - Method in class org.ranksys.compression.preferences.AbstractCODECPreferenceData
numUsers() - Method in class org.ranksys.fast.preference.AbstractFastPreferenceSampler
numUsers() - Method in class org.ranksys.fm.PreferenceFM
numUsersWithPreferences() - Method in class es.uam.eps.ir.ranksys.core.preference.ConcatPreferenceData
numUsersWithPreferences() - Method in interface es.uam.eps.ir.ranksys.core.preference.PreferenceData: Returns the number of users with preferences.
numUsersWithPreferences() - Method in class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData
numUsersWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
numUsersWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData
numUsersWithPreferences() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData

O

ObjectDoubleTopN<T> - Class in es.uam.eps.ir.ranksys.core.util.topn: Bounded min-heap to keep just the top-n greatest object-double pairs according to the value of the double.
ObjectDoubleTopN(int) - Constructor for class es.uam.eps.ir.ranksys.core.util.topn.ObjectDoubleTopN: Constructor.
OneClassPreferenceFMData - Class in org.ranksys.fm.data: Samples user preferences with a number of negative preferences for one class prediction for collaborative filtering.
OneClassPreferenceFMData(FastPreferenceData<?, ?>, double) - Constructor for class org.ranksys.fm.data.OneClassPreferenceFMData: Constructor.
OneClassPreferenceFMData(FastPreferenceData<?, ?>, double, Random) - Constructor for class org.ranksys.fm.data.OneClassPreferenceFMData: Constructor.
OptPFDVBCODEC - Class in org.ranksys.compression.codecs.lemire: OptPFD coding (with Variable Byte as fallback).
OptPFDVBCODEC() - Constructor for class org.ranksys.compression.codecs.lemire.OptPFDVBCODEC: Constructor.
org.ranksys.compression.codecs - package org.ranksys.compression.codecs: Core interfaces and classes for codecs.
org.ranksys.compression.codecs.dsi - package org.ranksys.compression.codecs.dsi: Codecs from dsiutils.
org.ranksys.compression.codecs.lemire - package org.ranksys.compression.codecs.lemire: Codecs from Lemire's JavaFastPFOR.
org.ranksys.compression.preferences - package org.ranksys.compression.preferences: Compressed PreferenceData for binary and rating data.
org.ranksys.compression.util - package org.ranksys.compression.util: Utilities for compression techniques.
org.ranksys.core.preference - package org.ranksys.core.preference: Classes for accessing user-item preferences.
org.ranksys.core.util - package org.ranksys.core.util: Generic utilities.
org.ranksys.core.util.iterators - package org.ranksys.core.util.iterators: Primitive iterators.
org.ranksys.core.util.sampling - package org.ranksys.core.util.sampling: Sampling utilities.
org.ranksys.core.util.tuples - package org.ranksys.core.util.tuples: Primitive tuples.
org.ranksys.diversity.prop.metrics - package org.ranksys.diversity.prop.metrics: Proportionality metrics.
org.ranksys.diversity.prop.reranking - package org.ranksys.diversity.prop.reranking: Proportionality re-ranking methods.
org.ranksys.examples - package org.ranksys.examples: Example main programs for compression.
org.ranksys.fast.preference - package org.ranksys.fast.preference: Fast versions of PreferenceData.
org.ranksys.fm - package org.ranksys.fm: Wrappers for factorisation machines.
org.ranksys.fm.data - package org.ranksys.fm.data: Implementation of FMData for recommendation tasks.
org.ranksys.fm.rec - package org.ranksys.fm.rec: FM-based recommenders.
org.ranksys.formats.factorization - package org.ranksys.formats.factorization: Write and read format for factorised models.
org.ranksys.formats.feature - package org.ranksys.formats.feature: Write and read format for FeatureData.
org.ranksys.formats.index - package org.ranksys.formats.index: Write and read format for (User|Item|Feature)Index.
org.ranksys.formats.parsing - package org.ranksys.formats.parsing: String parsers.
org.ranksys.formats.preference - package org.ranksys.formats.preference: Write and read format for preferences.
org.ranksys.formats.rec - package org.ranksys.formats.rec: Write and read format for recommendations in files.
org.ranksys.lda - package org.ranksys.lda: LDA topic modelling and recommender.
org.ranksys.metrics.basic - package org.ranksys.metrics.basic: Implementations of basic, common metrics.
org.ranksys.novdiv.reranking - package org.ranksys.novdiv.reranking: Re-rankers.
org.ranksys.rec.fast - package org.ranksys.rec.fast: Fast version of base classes and interfaces for recommendation algorithms.

P

p(F) - Method in class es.uam.eps.ir.ranksys.diversity.binom.BinomialModel: Returns the non-personalized probability of a feature.
p(F) - Method in class es.uam.eps.ir.ranksys.diversity.binom.BinomialModel.UserBinomialModel: Returns the personalized probability of a feature.
parse(CharSequence) - Method in interface org.ranksys.formats.parsing.Parser: Parse a CharSequence into an object of type T.
Parser<T> - Interface in org.ranksys.formats.parsing: Interface to parse a CharSequence.
Parsers - Class in org.ranksys.formats.parsing: Generic implementations of the interface Parser.
Parsers() - Constructor for class org.ranksys.formats.parsing.Parsers
patience(int, F, int) - Method in class es.uam.eps.ir.ranksys.diversity.binom.BinomialModel.UserBinomialModel: Return the patience, i.e., the penalization of having a number of items with the same feature in a recommendation list of a given size.
PCItemNovelty<U,I> - Class in es.uam.eps.ir.ranksys.novelty.longtail: Popularity complement item novelty model.
PCItemNovelty(PreferenceData<U, I>) - Constructor for class es.uam.eps.ir.ranksys.novelty.longtail.PCItemNovelty: Constructor
PCItemNoveltyReranker<U,I> - Class in es.uam.eps.ir.ranksys.novelty.longtail.reranking: Popularity complement item novelty re-ranker.
PCItemNoveltyReranker(double, PCItemNovelty<U, I>, boolean) - Constructor for class es.uam.eps.ir.ranksys.novelty.longtail.reranking.PCItemNoveltyReranker: Constructor.
PDItemNovelty<U,I> - Class in es.uam.eps.ir.ranksys.novelty.unexp: Expected profile distance item novelty.
PDItemNovelty(boolean, PreferenceData<U, I>, ItemDistanceModel) - Constructor for class es.uam.eps.ir.ranksys.novelty.unexp.PDItemNovelty: Constructor.
PDItemNoveltyReranker<U,I> - Class in es.uam.eps.ir.ranksys.novelty.unexp.reranking: Profile distance item novelty re-ranker.
PDItemNoveltyReranker(double, PDItemNovelty<U, I>, boolean) - Constructor for class es.uam.eps.ir.ranksys.novelty.unexp.reranking.PDItemNoveltyReranker: Constructor.
pdp - Static variable in class org.ranksys.formats.parsing.Parsers: Parse to double.
peek() - Method in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN: Returns the element at the top of the heap.
PermutationReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking: Abstract re-ranker whose output is a permutation of the input recommendation.
PermutationReranker() - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker
permuteRecommendation(Recommendation<U, I>, int[]) - Static method in class es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker: Applies a permutation to re-rank a recommendation.
pf_u(F) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.AspectModel.UserAspectModel
pf_u(F) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.FeatureIntentModel.FeatureUserIntentModel: Returns the probability of an intent in the model.
pf_u(F) - Method in interface es.uam.eps.ir.ranksys.diversity.intentaware.IntentModel.UserIntentModel: Returns the probability of an intent in the model.
pfu - Variable in class es.uam.eps.ir.ranksys.diversity.intentaware.FeatureIntentModel.FeatureUserIntentModel: Map feature to p(f|u)
pi_f(Tuple2od, F) - Method in interface es.uam.eps.ir.ranksys.diversity.intentaware.AspectModel.ItemAspectModel: Returns probability of an item given an aspect
pi_f(Tuple2od, F) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.ScoresAspectModel.ScoresUserAspectModel
pi_f(Tuple2od, F) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.ScoresRelevanceAspectModel.ScoresUserRelevanceAspectModel
pip - Static variable in class org.ranksys.formats.parsing.Parsers: Parse to int.
plp - Static variable in class org.ranksys.formats.parsing.Parsers: Parse to long.
PLSAFactorizer<U,I> - Class in es.uam.eps.ir.ranksys.mf.plsa: Probabilistic Latent Semantic Analysis of Hofmann.
PLSAFactorizer(int) - Constructor for class es.uam.eps.ir.ranksys.mf.plsa.PLSAFactorizer: Constructor.
PM<U,I,F> - Class in org.ranksys.diversity.prop.reranking: Proportionality re-ranking method.
PM(FeatureData<I, F, ?>, BinomialModel<U, I, F>, double, int) - Constructor for class org.ranksys.diversity.prop.reranking.PM: Constructor.
PointWisePreferenceData<U,I> - Interface in org.ranksys.core.preference: Point-wise preference data.
PopularityRecommender<U,I> - Class in es.uam.eps.ir.ranksys.rec.fast.basic: Popularity-based recommender.
PopularityRecommender(FastPreferenceData<U, I>) - Constructor for class es.uam.eps.ir.ranksys.rec.fast.basic.PopularityRecommender: Constructor.
Precision<U,I> - Class in es.uam.eps.ir.ranksys.metrics.basic: Precision metric: proportion of relevant items in a recommendation list.
Precision(int, RelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.metrics.basic.Precision: Constructor.
predict(U, IdPref) - Method in class org.ranksys.fm.PreferenceFM: Predicts the preference by a user to an item preference.
predict(int, IdxPref) - Method in class org.ranksys.fm.PreferenceFM: Predicts the preference by a user to an item preference (fast version).
PreferenceData<U,I> - Interface in es.uam.eps.ir.ranksys.core.preference: User-item preference data required for recommendation algorithms.
PreferenceFM<U,I> - Class in org.ranksys.fm: Wraps a factorisation machine to work with RankSys user-preference pairs.
PreferenceFM(FastUserIndex, FastItemIndex, FM) - Constructor for class org.ranksys.fm.PreferenceFM: Constructor with default converter to IdxPref.
PreferenceFM(FastUserIndex, FastItemIndex, FM, Function<IdPref, IdxPref>) - Constructor for class org.ranksys.fm.PreferenceFM: Constructor with custom default converter to IdxPref.
PreferenceSampler<U,I> - Interface in org.ranksys.core.preference: Preference sampler, for stochastic algorithms.
PreferencesReader - Interface in org.ranksys.formats.preference: Reader for files containing preference data.
prior(I) - Method in class es.uam.eps.ir.ranksys.novelty.inverted.br.AlphaBayesRuleReranker
prior(I) - Method in class es.uam.eps.ir.ranksys.novelty.inverted.br.BayesRuleReranker: Returns the prior of an item: p(i).
PZTFactorizer<U,I> - Class in es.uam.eps.ir.ranksys.mf.als: Fast ALS-based factorization of Pilászy, Zibriczky and Tikk.
PZTFactorizer(double, DoubleUnaryOperator, int) - Constructor for class es.uam.eps.ir.ranksys.mf.als.PZTFactorizer: Constructor.
PZTFactorizer(double, double, DoubleUnaryOperator, int) - Constructor for class es.uam.eps.ir.ranksys.mf.als.PZTFactorizer: Constructor.

Q

q - Variable in class es.uam.eps.ir.ranksys.nn.item.ItemNeighborhoodRecommender: Exponent of the similarity.
q - Variable in class es.uam.eps.ir.ranksys.nn.user.UserNeighborhoodRecommender: Exponent of the similarity.

R

r_codec - Variable in class org.ranksys.compression.preferences.RatingCODECPreferenceData: CODEC for ratings.
RandomRecommender<U,I> - Class in es.uam.eps.ir.ranksys.rec.fast.basic: Random recommender.
RandomRecommender(FastUserIndex, FastItemIndex) - Constructor for class es.uam.eps.ir.ranksys.rec.fast.basic.RandomRecommender: Constructor.
RandomReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking: Re-ranker that applies a random permutation.
RandomReranker() - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.RandomReranker
RankingDiscountModel - Interface in es.uam.eps.ir.ranksys.metrics.rank: Ranking discount model.
RatingCODECPreferenceData<U,I,Cu,Ci,Cv> - Class in org.ranksys.compression.preferences: PreferenceData for rating data using compression.
RatingCODECPreferenceData(FastPreferenceData<U, I>, FastUserIndex, FastItemIndex, CODEC<Cu>, CODEC<Ci>, CODEC<Cv>) - Constructor for class org.ranksys.compression.preferences.RatingCODECPreferenceData: Constructor that utilizes other PreferenceData object with default IdxPref to IdPref converters.
RatingCODECPreferenceData(FastPreferenceData<U, I>, FastUserIndex, FastItemIndex, CODEC<Cu>, CODEC<Ci>, CODEC<Cv>, Function<IdxPref, IdPref>, Function<IdxPref, IdPref>) - Constructor for class org.ranksys.compression.preferences.RatingCODECPreferenceData: Constructor that utilizes other PreferenceData object with custom IdxPref to IdPref converters.
RatingCODECPreferenceData(Stream<Tuple2io<int[][]>>, Stream<Tuple2io<int[][]>>, FastUserIndex, FastItemIndex, CODEC<Cu>, CODEC<Ci>, CODEC<Cv>) - Constructor for class org.ranksys.compression.preferences.RatingCODECPreferenceData: Constructor using streams of user and items preferences lists with default IdxPref to IdPref converters.
RatingCODECPreferenceData(Stream<Tuple2io<int[][]>>, Stream<Tuple2io<int[][]>>, FastUserIndex, FastItemIndex, CODEC<Cu>, CODEC<Ci>, CODEC<Cv>, Function<IdxPref, IdPref>, Function<IdxPref, IdPref>) - Constructor for class org.ranksys.compression.preferences.RatingCODECPreferenceData: Constructor using streams of user and items preferences lists with custom IdxPref to IdPref converters.
RatingCODECPreferenceData(FastUserIndex, FastItemIndex, CODEC<Cu>, CODEC<Ci>, CODEC<Cv>, Function<IdxPref, IdPref>, Function<IdxPref, IdPref>) - Constructor for class org.ranksys.compression.preferences.RatingCODECPreferenceData: Constructor custom IdxPref to IdPref converters that does not read any input data.
read(InputBitStream, int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.BitStreamCODEC: Reads a BitStream to an array.
read(InputBitStream, int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.EliasFanoBitStreamCODEC
read(InputBitStream, int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.FixedLengthBitStreamCODEC
read(InputBitStream, int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.GammaBitStreamCODEC
read(InputBitStream, int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.RiceBitStreamCODEC
read(InputBitStream, int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.ZetaBitStreamCODEC
read(String, Parser, Parser<F>) - Method in interface org.ranksys.formats.feature.FeaturesReader: Reads item-feature-value triples from a file.
read(InputStream, Parser, Parser<F>) - Method in interface org.ranksys.formats.feature.FeaturesReader: Reads item-feature-value triples from an input stream.
read(String, Parser, Parser<F>) - Method in class org.ranksys.formats.feature.SimpleFeaturesReader
read(InputStream, Parser, Parser<F>) - Method in class org.ranksys.formats.feature.SimpleFeaturesReader
read(String, Parser<F>) - Static method in class org.ranksys.formats.index.FeatsReader: Reads a list of feature values from a file.
read(InputStream, Parser<F>) - Static method in class org.ranksys.formats.index.FeatsReader: Reads a list of feature values from an input stream.
read(String, Parser) - Static method in class org.ranksys.formats.index.ItemsReader: Reads a list of items from a file.
read(InputStream, Parser) - Static method in class org.ranksys.formats.index.ItemsReader: Reads a list of items from an input stream.
read(String, Parser) - Static method in class org.ranksys.formats.index.UsersReader: Reads a list of users from a file.
read(InputStream, Parser) - Static method in class org.ranksys.formats.index.UsersReader: Reads a list of users from an input stream.
read(String) - Method in class org.ranksys.formats.preference.CompressibleBinaryPreferencesFormat: Reads a file that complies with this format.
read(InputStream) - Method in class org.ranksys.formats.preference.CompressibleBinaryPreferencesFormat: Reads an input stream that complies with this format.
read(String) - Method in class org.ranksys.formats.preference.CompressibleRatingPreferencesFormat: Reads a file that complies with this format.
read(InputStream) - Method in class org.ranksys.formats.preference.CompressibleRatingPreferencesFormat: Reads an input stream that complies with this format.
read(String, Parser, Parser) - Method in interface org.ranksys.formats.preference.PreferencesReader: Reads preferences from a file.
read(InputStream, Parser, Parser) - Method in interface org.ranksys.formats.preference.PreferencesReader: Reads preferences from an input stream.
read(InputStream, Parser, Parser) - Method in class org.ranksys.formats.preference.SimpleBinaryPreferencesReader
read(InputStream, Parser, Parser) - Method in class org.ranksys.formats.preference.SimpleRatingPreferencesReader
readAll() - Method in interface org.ranksys.formats.rec.RecommendationFormat.Reader: Reads all recommendations.
readAll() - Method in class org.ranksys.formats.rec.TuplesRecommendationFormat.Reader
Reader(InputStream) - Constructor for class org.ranksys.formats.rec.TuplesRecommendationFormat.Reader: Constructor.
Recall<U,I> - Class in es.uam.eps.ir.ranksys.metrics.basic: Recall metric: proportion of relevant items in a recommendation list to all relevant items.
Recall(int, IdealRelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.metrics.basic.Recall: Constructor.
ReciprocalDiscountModel - Class in es.uam.eps.ir.ranksys.metrics.rank: Reciprocal discount: disc(k) = 1 / (k + 1).
ReciprocalDiscountModel() - Constructor for class es.uam.eps.ir.ranksys.metrics.rank.ReciprocalDiscountModel
ReciprocalRank<U,I> - Class in es.uam.eps.ir.ranksys.metrics.basic: Reciprocal Rank (RR, also known as MRR when averaged over queries/users).
ReciprocalRank(int, RelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.metrics.basic.ReciprocalRank: Constructor.
Recommendability<U,I> - Class in es.uam.eps.ir.ranksys.metrics.basic: Recommendability: binary metric that determines whether the user receives a non-empty recommendation or not.
Recommendability() - Constructor for class es.uam.eps.ir.ranksys.metrics.basic.Recommendability
Recommendation<U,I> - Class in es.uam.eps.ir.ranksys.core: A recommendation issued to a user.
Recommendation(U, List<Tuple2od>) - Constructor for class es.uam.eps.ir.ranksys.core.Recommendation: Constructs the recommendation.
recommendation - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker: input recommendation
RecommendationFormat<U,I> - Interface in org.ranksys.formats.rec: Recommendation writers and readers with a common format.
RecommendationFormat.Reader<U,I> - Interface in org.ranksys.formats.rec: Recommendation reader.
RecommendationFormat.Writer<U,I> - Interface in org.ranksys.formats.rec: Recommendation writer.
RecommendationMetric<U,I> - Interface in es.uam.eps.ir.ranksys.metrics: Recommendation metric: assigns a score for each recommendation list.
Recommender<U,I> - Interface in es.uam.eps.ir.ranksys.rec: Recommender interface.
RecommenderExample - Class in es.uam.eps.ir.ranksys.examples: Example main of recommendations.
RecommenderExample() - Constructor for class es.uam.eps.ir.ranksys.examples.RecommenderExample
RecommenderRunner<U,I> - Interface in es.uam.eps.ir.ranksys.rec.runner: Recommender runner.
RelevanceModel<U,I> - Class in es.uam.eps.ir.ranksys.metrics.rel: Relevance model: deciding when an item is relevant to a user and the gain obtained for being recommended.
RelevanceModel(boolean, Stream) - Constructor for class es.uam.eps.ir.ranksys.metrics.rel.RelevanceModel: Full constructor: allows to specify whether to cache the user relevance models and for which users.
RelevanceModel() - Constructor for class es.uam.eps.ir.ranksys.metrics.rel.RelevanceModel: No caching constructor.
RelevanceModel(Stream) - Constructor for class es.uam.eps.ir.ranksys.metrics.rel.RelevanceModel: Caching constructor.
RelevanceModel.UserRelevanceModel<U,I> - Interface in es.uam.eps.ir.ranksys.metrics.rel: User-specific relevance models.
relModel - Variable in class es.uam.eps.ir.ranksys.diversity.binom.metrics.BinomialMetric: relevance model
relModel - Variable in class es.uam.eps.ir.ranksys.diversity.other.metrics.SRecall: relevance model
relStats - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker: Statistics about relevance scores.
Reranker<U,I> - Interface in es.uam.eps.ir.ranksys.novdiv.reranking: Re-ranker.
RerankerExample - Class in es.uam.eps.ir.ranksys.examples: Example main of re-rankers.
RerankerExample() - Constructor for class es.uam.eps.ir.ranksys.examples.RerankerExample
RerankingRecommender<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking: Wrapper for re-ranker that re-ranks the output of another recommender.
RerankingRecommender(FastUserIndex, FastItemIndex, FastRecommender<U, I>, Reranker<U, I>) - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.RerankingRecommender: Constructor.
rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking.ItemNoveltyReranker
rerankPermutation() - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker: Returns the permutation to obtain the re-ranking
rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker: Returns the permutation that is applied to the input recommendation to generate the re-ranked recommendation.
rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker: Returns the permutation that is applied to the input recommendation to generate the re-ranked recommendation.
rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.NullReranker: Returns the permutation that is applied to the input recommendation to generate the re-ranked recommendation.
rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker: Returns the permutation that is applied to the input recommendation to generate the re-ranked recommendation.
rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.RandomReranker: Returns the permutation that is applied to the input recommendation to generate the re-ranked recommendation.
rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novelty.inverted.br.BayesRuleReranker
rerankPermutation(Recommendation<U, I>, int) - Method in class org.ranksys.novdiv.reranking.DitheringReranker
rerankRecommendation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker
rerankRecommendation(Recommendation<U, I>, int) - Method in interface es.uam.eps.ir.ranksys.novdiv.reranking.Reranker: Re-ranks a recommendation.
reset() - Method in class es.uam.eps.ir.ranksys.core.util.Stats: Resets the Stats object (as it had just been created).
reset() - Method in class es.uam.eps.ir.ranksys.diversity.sales.metrics.AbstractSalesDiversityMetric
reset() - Method in class es.uam.eps.ir.ranksys.metrics.basic.AverageRecommendationMetric
reset() - Method in interface es.uam.eps.ir.ranksys.metrics.SystemMetric: Resets the metric by discarding the recommendations previously added.
reset() - Method in class org.ranksys.compression.codecs.AbstractCODEC
reset() - Method in interface org.ranksys.compression.codecs.CODEC: Resets the collection of statistics.
reverseIterator() - Method in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN: Iterates over the elements of the heap in reverse order.
reverseStream() - Method in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN: Creates a stream in reverse order.
RiceBitStreamCODEC - Class in org.ranksys.compression.codecs.dsi: Rice coding.
RiceBitStreamCODEC() - Constructor for class org.ranksys.compression.codecs.dsi.RiceBitStreamCODEC
run(Function<U, Recommendation<U, I>>, Consumer<Recommendation<U, I>>) - Method in class es.uam.eps.ir.ranksys.rec.runner.AbstractRecommenderRunner: Prints the recommendations.
run(Recommender<U, I>, Consumer<Recommendation<U, I>>) - Method in class es.uam.eps.ir.ranksys.rec.runner.CandidatesRecommenderRunner
run(Recommender<U, I>, Consumer<Recommendation<U, I>>) - Method in class es.uam.eps.ir.ranksys.rec.runner.fast.FastFilterRecommenderRunner
run(Recommender<U, I>, Consumer<Recommendation<U, I>>) - Method in class es.uam.eps.ir.ranksys.rec.runner.FilterRecommenderRunner
run(Recommender<U, I>, Consumer<Recommendation<U, I>>) - Method in interface es.uam.eps.ir.ranksys.rec.runner.RecommenderRunner: Runs the recommender and prints the recommendations to an output stream.

S

sample() - Method in interface org.ranksys.core.preference.PreferenceSampler: Get a stream of randomly sample user-item preferences.
sample(int) - Method in class org.ranksys.core.util.sampling.WeightedSampling: Sample k elements.
sample() - Method in class org.ranksys.core.util.sampling.WeightedSampling: Sample an element.
save(Factorization<U, I>, OutputStream) - Method in interface org.ranksys.formats.factorization.FactorizationFormat: Saves this matrix factorization to a compressed output stream.
save(PreferenceFM, OutputStream) - Method in interface org.ranksys.formats.factorization.FMFormat: Saves a factorisation machine in an output stream.
save(Factorization<U, I>, OutputStream) - Method in class org.ranksys.formats.factorization.SimpleFactorizationFormat
save(PreferenceFM, OutputStream) - Method in class org.ranksys.formats.factorization.SimpleFMFormat
ScoresAspectModel<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.intentaware: Scores-based aspect model.
ScoresAspectModel(IntentModel<U, I, F>) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.ScoresAspectModel: Constructor taking an intent model and scores data.
ScoresAspectModel.ScoresUserAspectModel - Class in es.uam.eps.ir.ranksys.diversity.intentaware: User aspect model for ScoresAspectModel.
ScoresRelevanceAspectModel<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.intentaware: Relevance-based aspect model for eXplicit Query Aspect Diversification re-ranker.
ScoresRelevanceAspectModel(IntentModel<U, I, F>) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.ScoresRelevanceAspectModel: Constructor taking an intent model and scores data.
ScoresRelevanceAspectModel.ScoresUserRelevanceAspectModel - Class in es.uam.eps.ir.ranksys.diversity.intentaware: User aspect model for ScoresRelevanceAspectModel.
ScoresUserAspectModel(U) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.ScoresAspectModel.ScoresUserAspectModel: Constructor.
ScoresUserRelevanceAspectModel(U) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.ScoresRelevanceAspectModel.ScoresUserRelevanceAspectModel: Constructor.
selectItem(IntSortedSet, List<Tuple2od>) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker: Selects the next element of the permutation that maximizes the objective function.
selectItem(IntSortedSet, List<Tuple2od>) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker
set(int, T) - Method in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN: Sets the element in the i-th position of the heap.
set(int, Tuple2od<T>) - Method in class es.uam.eps.ir.ranksys.core.util.topn.ObjectDoubleTopN
set(int, T) - Method in class es.uam.eps.ir.ranksys.core.util.topn.TopN
set(int, Tuple2id) - Method in class es.uam.eps.ir.ranksys.fast.utils.topn.IntDoubleTopN
set_minP(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.als.ALSFactorizer: User matrix least-squares step.
set_minP(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.als.HKVFactorizer
set_minP(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.als.PZTFactorizer
set_minQ(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.als.ALSFactorizer: Item matrix least-squares step.
set_minQ(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.als.HKVFactorizer
set_minQ(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.ranksys.mf.als.PZTFactorizer
SetCosineItemSimilarity - Class in es.uam.eps.ir.ranksys.nn.item.sim: Set cosine similarity.
SetCosineItemSimilarity(FastPreferenceData<?, I>, double, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.item.sim.SetCosineItemSimilarity: Constructor.
SetCosineSimilarity - Class in es.uam.eps.ir.ranksys.nn.sim: Set cosine similarity.
SetCosineSimilarity(FastPreferenceData<?, ?>, double, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.sim.SetCosineSimilarity: Constructor.
SetCosineUserSimilarity - Class in es.uam.eps.ir.ranksys.nn.user.sim: Set cosine user similarity.
SetCosineUserSimilarity(FastPreferenceData<U, ?>, double, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.user.sim.SetCosineUserSimilarity: Constructor.
SetJaccardItemSimilarity - Class in es.uam.eps.ir.ranksys.nn.item.sim: Set Jaccard item similarity.
SetJaccardItemSimilarity(FastPreferenceData<?, I>, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.item.sim.SetJaccardItemSimilarity: Constructor.
SetJaccardSimilarity - Class in es.uam.eps.ir.ranksys.nn.sim: Set Jaccard similarity.
SetJaccardSimilarity(FastPreferenceData<?, ?>, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.sim.SetJaccardSimilarity: Constructor.
SetJaccardUserSimilarity - Class in es.uam.eps.ir.ranksys.nn.user.sim: Set Jaccard user similarity.
SetJaccardUserSimilarity(FastPreferenceData<U, ?>, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.user.sim.SetJaccardUserSimilarity: Constructor.
setLeftChild(BinaryTree.Node) - Method in class org.ranksys.core.util.BinaryTree.Node: Sets a node as left child of this node.
setRightChild(BinaryTree.Node) - Method in class org.ranksys.core.util.BinaryTree.Node: Sets a node as right child of this node.
SetSimilarity - Class in es.uam.eps.ir.ranksys.nn.sim: Set similarity.
SetSimilarity(FastPreferenceData<?, ?>, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.sim.SetSimilarity: Constructor.
shuffle() - Method in class org.ranksys.fm.data.BPRPreferenceFMData
shuffle() - Method in class org.ranksys.fm.data.OneClassPreferenceFMData
sim - Variable in class es.uam.eps.ir.ranksys.nn.item.sim.ItemSimilarity: Generic fast similarity.
sim(int, int, int) - Method in class es.uam.eps.ir.ranksys.nn.sim.SetCosineSimilarity
sim(int, int, int) - Method in class es.uam.eps.ir.ranksys.nn.sim.SetJaccardSimilarity
sim(int, int, int) - Method in class es.uam.eps.ir.ranksys.nn.sim.SetSimilarity: Calculates the similarity value.
sim(double, double, double) - Method in class es.uam.eps.ir.ranksys.nn.sim.VectorCosineSimilarity
sim(double, double, double) - Method in class es.uam.eps.ir.ranksys.nn.sim.VectorJaccardSimilarity
sim(double, double, double) - Method in class es.uam.eps.ir.ranksys.nn.sim.VectorSimilarity: Calculates the similarity value.
sim - Variable in class es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity: Generic fast similarity.
similarElems(int) - Method in class es.uam.eps.ir.ranksys.nn.item.sim.ItemSimilarity
similarElems(int) - Method in class es.uam.eps.ir.ranksys.nn.sim.SetSimilarity
similarElems(int) - Method in interface es.uam.eps.ir.ranksys.nn.sim.Similarity: Returns all the users/items having a similarity greater than 0, together with the value of the similarity.
similarElems(int) - Method in class es.uam.eps.ir.ranksys.nn.sim.VectorSimilarity
similarElems(int) - Method in class es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity
similarItems(I) - Method in class es.uam.eps.ir.ranksys.nn.item.sim.ItemSimilarity: Returns all the items that are similar to the item.
similarItems(int) - Method in class es.uam.eps.ir.ranksys.nn.item.sim.ItemSimilarity: Returns all the items that are similar to the item - fast version.
similarity(I) - Method in class es.uam.eps.ir.ranksys.nn.item.sim.ItemSimilarity: Returns a function returning similarities with the item
similarity(I, I) - Method in class es.uam.eps.ir.ranksys.nn.item.sim.ItemSimilarity: Returns the similarity between a pair of items.
similarity(int) - Method in class es.uam.eps.ir.ranksys.nn.item.sim.ItemSimilarity
similarity(int, int) - Method in class es.uam.eps.ir.ranksys.nn.item.sim.ItemSimilarity
similarity(int) - Method in class es.uam.eps.ir.ranksys.nn.sim.SetSimilarity
Similarity - Interface in es.uam.eps.ir.ranksys.nn.sim: Generic similarity for fast data.
similarity(int) - Method in interface es.uam.eps.ir.ranksys.nn.sim.Similarity: Returns a function that returns the similarity with the user/item.
similarity(int, int) - Method in interface es.uam.eps.ir.ranksys.nn.sim.Similarity: Returns the similarity between two users/items.
similarity(int) - Method in class es.uam.eps.ir.ranksys.nn.sim.VectorSimilarity
similarity(U) - Method in class es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity: Returns a function returning similarities with the user
similarity(U, U) - Method in class es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity: Returns the similarity between a pair of users.
similarity(int) - Method in class es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity
similarity(int, int) - Method in class es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity
similarUsers(U) - Method in class es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity: Returns all the users that are similar to the user.
similarUsers(int) - Method in class es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity: Returns all the users that are similar to the user - fast version.
Simple16CODEC - Class in org.ranksys.compression.codecs.lemire: Simple16 coding.
Simple16CODEC() - Constructor for class org.ranksys.compression.codecs.lemire.Simple16CODEC: Constructor.
SimpleBinaryPreferencesReader - Class in org.ranksys.formats.preference: Reads a file of tab-separated user-item pairs, one per line.
SimpleFactorizationFormat - Class in org.ranksys.formats.factorization: Zip-compressed, human readable matrix factorisation format.
SimpleFastFeatureData<I,F,V> - Class in es.uam.eps.ir.ranksys.fast.feature: Simple implementation of FastFeatureData backed by nested lists.
SimpleFastFeatureData(List<List<Tuple2io<V>>>, List<List<Tuple2io<V>>>, FastItemIndex, FastFeatureIndex<F>) - Constructor for class es.uam.eps.ir.ranksys.fast.feature.SimpleFastFeatureData: Constructor.
SimpleFastFeatureIndex<F> - Class in es.uam.eps.ir.ranksys.fast.index: Simple implementation of FastFeatureIndex backed by a bi-map IdxIndex
SimpleFastFeatureIndex() - Constructor for class es.uam.eps.ir.ranksys.fast.index.SimpleFastFeatureIndex: Constructor.
SimpleFastItemIndex - Class in es.uam.eps.ir.ranksys.fast.index: Simple implementation of FastItemIndex backed by a bi-map IdxIndex
SimpleFastItemIndex() - Constructor for class es.uam.eps.ir.ranksys.fast.index.SimpleFastItemIndex: Constructor.
SimpleFastPreferenceData<U,I> - Class in es.uam.eps.ir.ranksys.fast.preference: Simple implementation of FastPreferenceData backed by nested lists.
SimpleFastPreferenceData(int, List<List<IdxPref>>, List<List<IdxPref>>, FastUserIndex, FastItemIndex) - Constructor for class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData: Constructor with default IdxPref to IdPref converter.
SimpleFastPreferenceData(int, List<List<IdxPref>>, List<List<IdxPref>>, FastUserIndex, FastItemIndex, Function<IdxPref, IdPref>, Function<IdxPref, IdPref>) - Constructor for class es.uam.eps.ir.ranksys.fast.preference.SimpleFastPreferenceData: Constructor with custom IdxPref to IdPref converter.
SimpleFastUserIndex - Class in es.uam.eps.ir.ranksys.fast.index: Simple implementation of FastUserIndex backed by a bi-map IdxIndex
SimpleFastUserIndex() - Constructor for class es.uam.eps.ir.ranksys.fast.index.SimpleFastUserIndex: Empty constructor: no users.
SimpleFeatureData<I,F,V> - Class in es.uam.eps.ir.ranksys.core.feature: Simple map-based feature data.
SimpleFeatureData(Map<I, List<Tuple2<F, V>>>, Map<F, List<Tuple2<I, V>>>) - Constructor for class es.uam.eps.ir.ranksys.core.feature.SimpleFeatureData: Constructor
SimpleFeaturesReader - Class in org.ranksys.formats.feature: Reads a file of tab-separated item-feat-value triples, one per line.
SimpleFMFormat - Class in org.ranksys.formats.factorization: Factorisation machine format in zip-compressed, human readable files .
SimplePreferenceData<U,I> - Class in es.uam.eps.ir.ranksys.core.preference: Simple map-based preference data
SimplePreferenceData(Map<U, List<IdPref>>, Map<I, List<IdPref>>, int) - Constructor for class es.uam.eps.ir.ranksys.core.preference.SimplePreferenceData: Constructor.
SimpleRatingPreferencesReader - Class in org.ranksys.formats.preference: Reads a file of tab-separated user-item-rating triples, one per line.
SimpleRecommendationFormat<U,I> - Class in org.ranksys.formats.rec: Simple format for recommendations: tab-separated user-item-score triplets, grouping first by user (not necessarily in order) and then by decreasing order of score.
SimpleRecommendationFormat(Parser, Parser) - Constructor for class org.ranksys.formats.rec.SimpleRecommendationFormat: Constructor.
SimpleRecommendationFormat(Parser, Parser, boolean) - Constructor for class org.ranksys.formats.rec.SimpleRecommendationFormat: Constructor.
size - Variable in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN: Current size of the heap.
size() - Method in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN
size() - Method in class es.uam.eps.ir.ranksys.fast.utils.IdxIndex: Returns the number of stored elements.
skip(int) - Method in class org.ranksys.core.util.iterators.ArrayDoubleIterator
skip(int) - Method in class org.ranksys.core.util.iterators.ArrayIntIterator
skip(int) - Method in class org.ranksys.core.util.iterators.StreamDoubleIterator
skip(int) - Method in class org.ranksys.core.util.iterators.StreamIntIterator
sort() - Method in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN: Sorts the heap in inverse order (from smallest to greatest).
sp - Static variable in class org.ranksys.formats.parsing.Parsers: Parse to String.
split(CharSequence, int) - Static method in class es.uam.eps.ir.ranksys.core.util.FastStringSplitter: Splits a CharSequence according to the delimiter character.
split(CharSequence, int, int) - Static method in class es.uam.eps.ir.ranksys.core.util.FastStringSplitter: Splits a CharSequence according to the delimiter character in a limited number of tokens.
SRecall<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.other.metrics: Subtopic recall metric.
SRecall(FeatureData<I, F, ?>, int, RelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.ranksys.diversity.other.metrics.SRecall: Constructor.
Stats - Class in es.uam.eps.ir.ranksys.core.util: Calculate common statistics for samples of doubles
Stats() - Constructor for class es.uam.eps.ir.ranksys.core.util.Stats: Constructor.
stats() - Method in class org.ranksys.compression.codecs.AbstractCODEC
stats() - Method in interface org.ranksys.compression.codecs.CODEC: Returns statistics of the CODEC in terms of total input/output bytes processed.
stream() - Method in class org.ranksys.fm.data.BPRPreferenceFMData
stream() - Method in class org.ranksys.fm.data.OneClassPreferenceFMData
StreamDoubleIterator - Class in org.ranksys.core.util.iterators: Double primitive iterator wrapping a DoubleStream.
StreamDoubleIterator(DoubleStream) - Constructor for class org.ranksys.core.util.iterators.StreamDoubleIterator: Constructor.
StreamIntIterator - Class in org.ranksys.core.util.iterators: Int primitive iterator wrapping an IntStream.
StreamIntIterator(IntStream) - Constructor for class org.ranksys.core.util.iterators.StreamIntIterator: Constructor.
StreamsAbstractFastPreferenceData<U,I> - Class in org.ranksys.fast.preference: Extends AbstractFastPreferenceData and implements the data access iterator-based methods using the stream-based ones.
StreamsAbstractFastPreferenceData(FastUserIndex, FastItemIndex) - Constructor for class org.ranksys.fast.preference.StreamsAbstractFastPreferenceData: Constructor with default IdxPref to IdPref converter.
StreamsAbstractFastPreferenceData(FastUserIndex, FastItemIndex, Function<IdxPref, IdPref>, Function<IdxPref, IdPref>) - Constructor for class org.ranksys.fast.preference.StreamsAbstractFastPreferenceData: Constructor with custom IdxPref to IdPref converter.
swap(int, int) - Method in class es.uam.eps.ir.ranksys.core.util.topn.AbstractTopN: Swaps the elements in the i-th and j-th element in the heap.
swap(int, int) - Method in class es.uam.eps.ir.ranksys.core.util.topn.ObjectDoubleTopN
swap(int, int) - Method in class es.uam.eps.ir.ranksys.core.util.topn.TopN
swap(int, int) - Method in class es.uam.eps.ir.ranksys.fast.utils.topn.IntDoubleTopN
SystemMetric<U,I> - Interface in es.uam.eps.ir.ranksys.metrics: System metric: a metric that evaluates recommendations to a community of users as a whole.

T

TDItemNovelty<U,I> - Class in es.uam.eps.ir.ranksys.novelty.temporal: Temporal discovery item novelty model.
TDItemNovelty(Function<U, List>, RankingDiscountModel) - Constructor for class es.uam.eps.ir.ranksys.novelty.temporal.TDItemNovelty: Constructor.
TDItemNoveltyReranker<U,I> - Class in es.uam.eps.ir.ranksys.novelty.temporal.reranking: Temporal Discovery re-ranker.
TDItemNoveltyReranker(double, ItemNovelty<U, I>, boolean) - Constructor for class es.uam.eps.ir.ranksys.novelty.temporal.reranking.TDItemNoveltyReranker: Constructor.
ThresholdItemNeighborhood - Class in es.uam.eps.ir.ranksys.nn.item.neighborhood: Threshold item neighborhood.
ThresholdItemNeighborhood(ItemSimilarity, double) - Constructor for class es.uam.eps.ir.ranksys.nn.item.neighborhood.ThresholdItemNeighborhood: Constructor
ThresholdNeighborhood - Class in es.uam.eps.ir.ranksys.nn.neighborhood: Threshold neighborhood.
ThresholdNeighborhood(Similarity, double) - Constructor for class es.uam.eps.ir.ranksys.nn.neighborhood.ThresholdNeighborhood: Constructor.
ThresholdUserNeighborhood - Class in es.uam.eps.ir.ranksys.nn.user.neighborhood: Threshold user neighborhood.
ThresholdUserNeighborhood(UserSimilarity, double) - Constructor for class es.uam.eps.ir.ranksys.nn.user.neighborhood.ThresholdUserNeighborhood: Constructor
TopKItemNeighborhood - Class in es.uam.eps.ir.ranksys.nn.item.neighborhood: Top-k item neighborhood.
TopKItemNeighborhood(ItemSimilarity, int) - Constructor for class es.uam.eps.ir.ranksys.nn.item.neighborhood.TopKItemNeighborhood: Constructor.
TopKNeighborhood - Class in es.uam.eps.ir.ranksys.nn.neighborhood: Top-K neighborhood.
TopKNeighborhood(Similarity, int) - Constructor for class es.uam.eps.ir.ranksys.nn.neighborhood.TopKNeighborhood: Constructor.
TopKUserNeighborhood - Class in es.uam.eps.ir.ranksys.nn.user.neighborhood: User top-K neighborhood.
TopKUserNeighborhood(UserSimilarity, int) - Constructor for class es.uam.eps.ir.ranksys.nn.user.neighborhood.TopKUserNeighborhood: Constructor.
TopN<T> - Class in es.uam.eps.ir.ranksys.core.util.topn: Bounded min-heap to keep just the top-n greatest objects.
TopN(int) - Constructor for class es.uam.eps.ir.ranksys.core.util.topn.TopN: Constructor that assumes that the class T implements the Comparable interface.
TopN(int, Comparator<T>) - Constructor for class es.uam.eps.ir.ranksys.core.util.topn.TopN: Constructor in which the comparator is specified.
totalData - Variable in class es.uam.eps.ir.ranksys.diversity.intentaware.FeatureIntentModel: user-item preference data
TransposedPreferenceData<I,U> - Class in es.uam.eps.ir.ranksys.fast.preference: Transposed preferences, where users and items change roles.
TransposedPreferenceData(FastPreferenceData<U, I>) - Constructor for class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData: Constructor with default converters between IdxPref and IdPref.
TransposedPreferenceData(FastPreferenceData<U, I>, Function2<U, IdPref, IdPref>, Function2<Integer, IdxPref, IdxPref>) - Constructor for class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData: Constructor with custom converters between IdxPref and IdPref.
TRECRecommendationFormat<U,I> - Class in org.ranksys.formats.rec: Reader for TREC-like recommendations.
TRECRecommendationFormat(Parser, Parser) - Constructor for class org.ranksys.formats.rec.TRECRecommendationFormat: Constructor.
TRECRecommendationFormat(Parser, Parser, boolean) - Constructor for class org.ranksys.formats.rec.TRECRecommendationFormat: Constructor.
tuple(T1, double) - Static method in class org.ranksys.core.util.tuples.Tuples: Creates a tuple of object-double.
tuple(int, T2) - Static method in class org.ranksys.core.util.tuples.Tuples: Creates a tuple of integer-object.
tuple(int, double) - Static method in class org.ranksys.core.util.tuples.Tuples: Creates a tuple of integer-double.
Tuple2id - Class in org.ranksys.core.util.tuples: Tuple of integer-double.
Tuple2id(Tuple2<Integer, Double>) - Constructor for class org.ranksys.core.util.tuples.Tuple2id: Constructor from a jOOL tuple.
Tuple2id(Tuple2id) - Constructor for class org.ranksys.core.util.tuples.Tuple2id: Constructor from an integer-double tuple.
Tuple2id(int, double) - Constructor for class org.ranksys.core.util.tuples.Tuple2id: Constructor from separate integer and double values.
Tuple2io<T2> - Class in org.ranksys.core.util.tuples: Tuple of integer-object.
Tuple2io(Tuple2<Integer, T2>) - Constructor for class org.ranksys.core.util.tuples.Tuple2io: Constructor from a jOOL tuple
Tuple2io(Tuple2io<T2>) - Constructor for class org.ranksys.core.util.tuples.Tuple2io: Constructor from an integer-object tuple.
Tuple2io(int, T2) - Constructor for class org.ranksys.core.util.tuples.Tuple2io: Constructor from separate integer and object values.
Tuple2od<T1> - Class in org.ranksys.core.util.tuples: Tuple of object-double.
Tuple2od(Tuple2<T1, Double>) - Constructor for class org.ranksys.core.util.tuples.Tuple2od: Constructor from a jOOL tuple.
Tuple2od(Tuple2od<T1>) - Constructor for class org.ranksys.core.util.tuples.Tuple2od: Constructor from an object-double tuple.
Tuple2od(T1, double) - Constructor for class org.ranksys.core.util.tuples.Tuple2od: Constructor from separate object and double values.
Tuples - Class in org.ranksys.core.util.tuples: Convenient static builders of tuples.
Tuples() - Constructor for class org.ranksys.core.util.tuples.Tuples
TuplesRecommendationFormat<U,I> - Class in org.ranksys.formats.rec: Reader for formats where recommendations are stored in tuples, one each line.
TuplesRecommendationFormat(Function4<U, I, Double, Long, String>, Function<String, Tuple3<U, I, Double>>) - Constructor for class org.ranksys.formats.rec.TuplesRecommendationFormat: Constructor.
TuplesRecommendationFormat(Function4<U, I, Double, Long, String>, Function<String, Tuple3<U, I, Double>>, boolean) - Constructor for class org.ranksys.formats.rec.TuplesRecommendationFormat: Constructor.
TuplesRecommendationFormat.Reader - Class in org.ranksys.formats.rec: Reader of recommendations.
TuplesRecommendationFormat.Writer - Class in org.ranksys.formats.rec: Writer of recommendations.

U

u_codec - Variable in class org.ranksys.compression.preferences.AbstractCODECPreferenceData: CODEC for user preferences.
u_idxs - Variable in class org.ranksys.compression.preferences.AbstractCODECPreferenceData: lists of items for users.
u_len - Variable in class org.ranksys.compression.preferences.AbstractCODECPreferenceData: lengths of user preferences lists.
u_vs - Variable in class org.ranksys.compression.preferences.RatingCODECPreferenceData: list of ratings for users.
ui - Variable in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData: user index.
uidx2user(int) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastUserIndex: Returns the user represented with the index.
uidx2user(Tuple2io<V>) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastUserIndex: Applies FastUserIndex::uidx2user to the first element of the tuple.
uidx2user(Tuple2id) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastUserIndex: Applies FastUserIndex::uidx2user to the first element of the tuple.
uidx2user(int) - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastUserIndex
uidx2user(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
uidx2user(int) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
uidx2user(int) - Method in class es.uam.eps.ir.ranksys.mf.Factorization
uidx2user(int) - Method in class es.uam.eps.ir.ranksys.nn.user.neighborhood.UserNeighborhood
uidx2user(int) - Method in class es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity
uidx2user(int) - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
uidx2user(int) - Method in class org.ranksys.fast.preference.AbstractFastPreferenceSampler
uidx2user(int) - Method in class org.ranksys.fm.PreferenceFM
uIndex - Variable in class es.uam.eps.ir.ranksys.mf.Factorization: user index
uIndex - Variable in class es.uam.eps.ir.ranksys.nn.user.neighborhood.UserNeighborhood: Fast user index.
uIndex - Variable in class es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity: Fast user index.
uIndex - Variable in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender: Fast user index.
update(Tuple2od) - Method in class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialCoverageReranker.BinomialCoverageUserReranker
update(Tuple2od) - Method in class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialDiversityReranker.BinomialDiversityUserReranker
update(Tuple2od) - Method in class es.uam.eps.ir.ranksys.diversity.binom.reranking.BinomialNonRedundancyReranker.BinomialNonRedundancyUserReranker
update(Tuple2od) - Method in class es.uam.eps.ir.ranksys.diversity.distance.reranking.MMR.UserMMR
update(Tuple2od) - Method in class es.uam.eps.ir.ranksys.diversity.intentaware.reranking.AlphaXQuAD.UserAlphaXQuAD
update(Tuple2od) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker: Updates the value of the objective function after a selection.
uPrefFun - Variable in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData: Converter from IdxPref to IdPref (preference for item).
useIteratorsPreferentially() - Method in interface es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData: Use methods returning IntIterator or DoubleIterator over streams of IdxPref?
useIteratorsPreferentially() - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
useIteratorsPreferentially() - Method in class org.ranksys.fast.preference.IteratorsAbstractFastPreferenceData
useIteratorsPreferentially() - Method in class org.ranksys.fast.preference.StreamsAbstractFastPreferenceData
user2uidx(U) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastUserIndex: Returns the index assigned to the user.
user2uidx(Tuple2<U, V>) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastUserIndex: Applies FastUserIndex::user2uidx to the first element of the tuple.
user2uidx(Tuple2od) - Method in interface es.uam.eps.ir.ranksys.fast.index.FastUserIndex: Applies FastUserIndex::user2uidx to the first element of the tuple.
user2uidx(U) - Method in class es.uam.eps.ir.ranksys.fast.index.SimpleFastUserIndex
user2uidx(U) - Method in class es.uam.eps.ir.ranksys.fast.preference.AbstractFastPreferenceData
user2uidx(I) - Method in class es.uam.eps.ir.ranksys.fast.preference.TransposedPreferenceData
user2uidx(U) - Method in class es.uam.eps.ir.ranksys.mf.Factorization
user2uidx(U) - Method in class es.uam.eps.ir.ranksys.nn.user.neighborhood.UserNeighborhood
user2uidx(U) - Method in class es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity
user2uidx(U) - Method in class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
user2uidx(U) - Method in class org.ranksys.fast.preference.AbstractFastPreferenceSampler
user2uidx(U) - Method in class org.ranksys.fm.PreferenceFM
UserAlphaXQuAD(Recommendation<U, I>, int) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.reranking.AlphaXQuAD.UserAlphaXQuAD: Constructor.
UserAspectModel(U) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.AspectModel.UserAspectModel: Constructor taking user intent model.
UserERRRelevanceModel(U) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.metrics.ERRIA.ERRRelevanceModel.UserERRRelevanceModel: Constructor.
UserIndex - Interface in es.uam.eps.ir.ranksys.core.index: Index for a set of users.
userMatrix - Variable in class es.uam.eps.ir.ranksys.mf.Factorization: user matrix
UserMMR(Recommendation<U, I>, int) - Constructor for class es.uam.eps.ir.ranksys.diversity.distance.reranking.MMR.UserMMR: Constructor.
UserModel - Class in es.uam.eps.ir.ranksys.core.model: Generic class for representing (and caching) user models.
UserModel(boolean, Stream) - Constructor for class es.uam.eps.ir.ranksys.core.model.UserModel: Constructor in which it can be specified whether to perform caching or not and the target users.
UserModel() - Constructor for class es.uam.eps.ir.ranksys.core.model.UserModel: Constructor which does not do any caching.
UserModel(Stream) - Constructor for class es.uam.eps.ir.ranksys.core.model.UserModel: Constructor which lazily caches the models for the specified users.
UserModel(UserModel) - Constructor for class es.uam.eps.ir.ranksys.core.model.UserModel: Constructor which lazily caches the models for the same users the model in the parameter does.
UserModel.Model - Interface in es.uam.eps.ir.ranksys.core.model: User model
UserNDCGRelevanceModel(U) - Constructor for class es.uam.eps.ir.ranksys.metrics.basic.NDCG.NDCGRelevanceModel.UserNDCGRelevanceModel: Constructor.
UserNeighborhood - Class in es.uam.eps.ir.ranksys.nn.user.neighborhood: User neighborhood.
UserNeighborhood(FastUserIndex, Neighborhood) - Constructor for class es.uam.eps.ir.ranksys.nn.user.neighborhood.UserNeighborhood: Constructor
UserNeighborhoodRecommender<U,I> - Class in es.uam.eps.ir.ranksys.nn.user: User-based nearest neighbors recommender.
UserNeighborhoodRecommender(FastPreferenceData<U, I>, UserNeighborhood, int) - Constructor for class es.uam.eps.ir.ranksys.nn.user.UserNeighborhoodRecommender: Constructor.
UserSimilarity - Class in es.uam.eps.ir.ranksys.nn.user.sim: User similarity.
UserSimilarity(FastUserIndex, Similarity) - Constructor for class es.uam.eps.ir.ranksys.nn.user.sim.UserSimilarity: Constructor.
UsersReader - Class in org.ranksys.formats.index: Reader for lists of users.
UsersReader() - Constructor for class org.ranksys.formats.index.UsersReader

V

v1 - Variable in class org.ranksys.core.util.tuples.Tuple2id: First value (integer).
v1() - Method in class org.ranksys.core.util.tuples.Tuple2id: Returns the first element (integer).
v1 - Variable in class org.ranksys.core.util.tuples.Tuple2io: First value (integer).
v1() - Method in class org.ranksys.core.util.tuples.Tuple2io: Returns the first element (integer).
v1 - Variable in class org.ranksys.core.util.tuples.Tuple2od: First value (object).
v1() - Method in class org.ranksys.core.util.tuples.Tuple2od: Returns the first element (object).
v2 - Variable in class org.ranksys.core.util.tuples.Tuple2id: Second value (double).
v2() - Method in class org.ranksys.core.util.tuples.Tuple2id: Returns the second element (double).
v2 - Variable in class org.ranksys.core.util.tuples.Tuple2io: Second value (object).
v2() - Method in class org.ranksys.core.util.tuples.Tuple2io: Returns the second element (object).
v2 - Variable in class org.ranksys.core.util.tuples.Tuple2od: Second value (double).
v2() - Method in class org.ranksys.core.util.tuples.Tuple2od: Returns the second element (double).
value(Tuple2od, Stats, Object2DoubleMap, Stats) - Method in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking.ItemNoveltyReranker: Re-scored value to determine the re-ranking.
value(Tuple2od) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker: Objective function that drives the greedy selection.
value(Tuple2od) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker
VByteCODEC - Class in org.ranksys.compression.codecs.lemire: Variable byte coding.
VByteCODEC() - Constructor for class org.ranksys.compression.codecs.lemire.VByteCODEC: Constructor.
VectorCosineItemSimilarity - Class in es.uam.eps.ir.ranksys.nn.item.sim: Vector cosine item similarity.
VectorCosineItemSimilarity(FastPreferenceData<?, I>, double, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.item.sim.VectorCosineItemSimilarity: Constructor.
VectorCosineSimilarity - Class in es.uam.eps.ir.ranksys.nn.sim: Vector cosine similarity.
VectorCosineSimilarity(FastPreferenceData<?, ?>, double, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.sim.VectorCosineSimilarity: Constructor.
VectorCosineUserSimilarity - Class in es.uam.eps.ir.ranksys.nn.user.sim: Vector cosine user similarity.
VectorCosineUserSimilarity(FastPreferenceData<U, ?>, double, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.user.sim.VectorCosineUserSimilarity: Constructor.
VectorFeatureItemDistanceModel<I,F> - Class in es.uam.eps.ir.ranksys.novdiv.distance: Feature-based item distance model that considers the features of items as vectors.
VectorFeatureItemDistanceModel(FeatureData<I, F, Double>) - Constructor for class es.uam.eps.ir.ranksys.novdiv.distance.VectorFeatureItemDistanceModel: Constructor.
VectorJaccardItemSimilarity - Class in es.uam.eps.ir.ranksys.nn.item.sim: Vector Jaccard item similarity.
VectorJaccardItemSimilarity(FastPreferenceData<?, I>, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.item.sim.VectorJaccardItemSimilarity: Constructor.
VectorJaccardSimilarity - Class in es.uam.eps.ir.ranksys.nn.sim: Vector Jaccard similarity.
VectorJaccardSimilarity(FastPreferenceData<?, ?>, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.sim.VectorJaccardSimilarity: Constructor.
VectorJaccardUserSimilarity - Class in es.uam.eps.ir.ranksys.nn.user.sim: Vector Jaccard user similarity.
VectorJaccardUserSimilarity(FastPreferenceData<U, ?>, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.user.sim.VectorJaccardUserSimilarity: Constructor.
VectorSimilarity - Class in es.uam.eps.ir.ranksys.nn.sim: Vector similarity.
VectorSimilarity(FastPreferenceData<?, ?>, boolean) - Constructor for class es.uam.eps.ir.ranksys.nn.sim.VectorSimilarity: Constructor.
vp - Static variable in class org.ranksys.formats.parsing.Parsers: Parse to Void.

W

WeightedSampling<T> - Class in org.ranksys.core.util.sampling: Weighted sampling with and without replacement.
WeightedSampling(Stream<T>, ToDoubleFunction<T>, boolean) - Constructor for class org.ranksys.core.util.sampling.WeightedSampling: Constructor
WeightedSampling(Stream<T>, ToDoubleFunction<T>, boolean, long) - Constructor for class org.ranksys.core.util.sampling.WeightedSampling: Constructor.
WeightedSampling(Stream<T>, ToDoubleFunction<T>, boolean, Random) - Constructor for class org.ranksys.core.util.sampling.WeightedSampling: Constructor.
withFeatures(FastFeatureData<I, F, ?>) - Static method in class es.uam.eps.ir.ranksys.rec.runner.fast.FastFilters: Item filter that discard items for which no feature data is available.
withFeatures(FeatureData<I, F, ?>) - Static method in class es.uam.eps.ir.ranksys.rec.runner.Filters: Item filter that discard items for which no feature data is available.
write(OutputBitStream, int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.BitStreamCODEC: Write integer array to BitStream.
write(OutputBitStream, int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.EliasFanoBitStreamCODEC
write(OutputBitStream, int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.FixedLengthBitStreamCODEC
write(OutputBitStream, int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.GammaBitStreamCODEC
write(OutputBitStream, int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.RiceBitStreamCODEC
write(OutputBitStream, int[], int, int) - Method in class org.ranksys.compression.codecs.dsi.ZetaBitStreamCODEC
write(FastPreferenceData<?, ?>, String, String) - Method in class org.ranksys.formats.preference.CompressibleBinaryPreferencesFormat: Saves a PreferenceData instance in two files for user and item preferences, respectively.
write(FastPreferenceData<?, ?>, OutputStream, OutputStream) - Method in class org.ranksys.formats.preference.CompressibleBinaryPreferencesFormat: Saves a PreferenceData instance in two files for user and item preferences, respectively.
write(FastPreferenceData<?, ?>, String, String) - Method in class org.ranksys.formats.preference.CompressibleRatingPreferencesFormat: Saves a PreferenceData instance in two files for user and item preferences, respectively.
write(FastPreferenceData<?, ?>, OutputStream, OutputStream) - Method in class org.ranksys.formats.preference.CompressibleRatingPreferencesFormat: Saves a PreferenceData instance in two files for user and item preferences, respectively.
write(Recommendation<U, I>) - Method in interface org.ranksys.formats.rec.RecommendationFormat.Writer: Writes the recommendation.
write(Recommendation<U, I>) - Method in class org.ranksys.formats.rec.TuplesRecommendationFormat.Writer
Writer(OutputStream) - Constructor for class org.ranksys.formats.rec.TuplesRecommendationFormat.Writer: Constructor.

X

XQuAD<U,I,F> - Class in es.uam.eps.ir.ranksys.diversity.intentaware.reranking: eXplicit Query Aspect Diversification re-ranker.
XQuAD(AspectModel<U, I, F>, double, int, boolean) - Constructor for class es.uam.eps.ir.ranksys.diversity.intentaware.reranking.XQuAD: Constructor.

Z

ZetaBitStreamCODEC - Class in org.ranksys.compression.codecs.dsi: Zeta coding.
ZetaBitStreamCODEC(int) - Constructor for class org.ranksys.compression.codecs.dsi.ZetaBitStreamCODEC: Constructor.
ZipRecommendationFormat<U,I> - Class in org.ranksys.formats.rec: Format similar to SimpleRecommendationFormat, but files are zipped and scores can be omitted when writing and reading for higher performance when they are not needed and only order matters.
ZipRecommendationFormat(Parser, Parser, boolean) - Constructor for class org.ranksys.formats.rec.ZipRecommendationFormat: Constructor.
ZipRecommendationFormat(Parser, Parser, boolean, boolean) - Constructor for class org.ranksys.formats.rec.ZipRecommendationFormat: Constructor.

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