Uses of Interface
es.uam.eps.ir.ranksys.core.index.ItemIndex

Packages that use ItemIndex

Package	Description
es.uam.eps.ir.ranksys.core.feature	Classes for accessing item-feature data.
es.uam.eps.ir.ranksys.core.preference	Classes for accessing user-item preferences.
es.uam.eps.ir.ranksys.fast.feature	Fast versions of FeatureData.
es.uam.eps.ir.ranksys.fast.index	Fast versions of user/item/feature indexes.
es.uam.eps.ir.ranksys.fast.preference	Fast versions of PreferenceData.
es.uam.eps.ir.ranksys.mf	Matrix factorization base classes.
es.uam.eps.ir.ranksys.mf.rec	Matrix factorization recommenders.
es.uam.eps.ir.ranksys.nn.item	Item-based nearest neighbors recommenders.
es.uam.eps.ir.ranksys.nn.item.neighborhood	Item neighborhoods.
es.uam.eps.ir.ranksys.nn.item.sim	Item similarities.
es.uam.eps.ir.ranksys.nn.user	User-based nearest neighbors recommenders.
es.uam.eps.ir.ranksys.novdiv.reranking	Re-rankers.
es.uam.eps.ir.ranksys.novelty.inverted.neighborhood	Inverted neighborhoods.
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	Basic recommendation algorithms.
org.ranksys.compression.preferences	Compressed PreferenceData for binary and rating data.
org.ranksys.core.preference	Classes for accessing user-item preferences.
org.ranksys.fast.preference	Fast versions of PreferenceData.
org.ranksys.fm	Wrappers for factorisation machines.
org.ranksys.fm.rec	FM-based recommenders.
org.ranksys.lda	LDA topic modelling and recommender.
org.ranksys.rec.fast	Fast version of base classes and interfaces for recommendation algorithms.

Uses of ItemIndex in es.uam.eps.ir.ranksys.core.feature

Subinterfaces of ItemIndex in es.uam.eps.ir.ranksys.core.feature

Modifier and Type	Interface and Description
interface	FeatureData<I,F,V> Item-feature data.

Classes in es.uam.eps.ir.ranksys.core.feature that implement ItemIndex

Modifier and Type	Class and Description
class	SimpleFeatureData<I,F,V> Simple map-based feature data.

Uses of ItemIndex in es.uam.eps.ir.ranksys.core.preference

Subinterfaces of ItemIndex in es.uam.eps.ir.ranksys.core.preference

Modifier and Type	Interface and Description
interface	PreferenceData<U,I> User-item preference data required for recommendation algorithms.

Classes in es.uam.eps.ir.ranksys.core.preference that implement ItemIndex

Modifier and Type	Class and Description
class	ConcatPreferenceData<U,I> Concatenation of two PreferenceData's
class	SimplePreferenceData<U,I> Simple map-based preference data

Uses of ItemIndex in es.uam.eps.ir.ranksys.fast.feature

Subinterfaces of ItemIndex in es.uam.eps.ir.ranksys.fast.feature

Modifier and Type	Interface and Description
interface	FastFeatureData<I,F,V> Fast version of FeatureData, where item-feature relationships are stored internally by the indexes provided by FastItemIndex and FastFeatureIndex.

Classes in es.uam.eps.ir.ranksys.fast.feature that implement ItemIndex

Modifier and Type	Class and Description
class	AbstractFastFeatureData<I,F,V> Abstract FastFeatureData, implementing the interfaces of FastItemIndex and FastFeatureIndex by delegating to implementations of these.
class	SimpleFastFeatureData<I,F,V> Simple implementation of FastFeatureData backed by nested lists.

Uses of ItemIndex in es.uam.eps.ir.ranksys.fast.index

Subinterfaces of ItemIndex in es.uam.eps.ir.ranksys.fast.index

Modifier and Type	Interface and Description
interface	FastItemIndex<I> Fast version of ItemIndex, where items are internally represented with numerical indices from 0 (inclusive) to the number of indexed items (exclusive).

Classes in es.uam.eps.ir.ranksys.fast.index that implement ItemIndex

Modifier and Type	Class and Description
class	SimpleFastItemIndex<I> Simple implementation of FastItemIndex backed by a bi-map IdxIndex

Uses of ItemIndex in es.uam.eps.ir.ranksys.fast.preference

Subinterfaces of ItemIndex in es.uam.eps.ir.ranksys.fast.preference

Modifier and Type	Interface and Description
interface	FastPreferenceData<U,I> Fast version of PreferenceData, where preferences for users and items are stored internally by the indexes provided by FastUserIndex and FastItemIndex.

Classes in es.uam.eps.ir.ranksys.fast.preference that implement ItemIndex

Modifier and Type	Class and Description
class	AbstractFastPreferenceData<U,I> Abstract FastFeatureData, implementing the interfaces of FastUserIndex and FastItemIndex by delegating to implementations of these.
class	SimpleFastPreferenceData<U,I> Simple implementation of FastPreferenceData backed by nested lists.
class	TransposedPreferenceData<I,U> Transposed preferences, where users and items change roles.

Uses of ItemIndex in es.uam.eps.ir.ranksys.mf

Classes in es.uam.eps.ir.ranksys.mf that implement ItemIndex

Modifier and Type	Class and Description
class	Factorization<U,I> Matrix factorization.

Uses of ItemIndex in es.uam.eps.ir.ranksys.mf.rec

Classes in es.uam.eps.ir.ranksys.mf.rec that implement ItemIndex

Modifier and Type	Class and Description
class	MFRecommender<U,I> Matrix factorization recommender.

Uses of ItemIndex in es.uam.eps.ir.ranksys.nn.item

Classes in es.uam.eps.ir.ranksys.nn.item that implement ItemIndex

Modifier and Type	Class and Description
class	ItemNeighborhoodRecommender<U,I> Item-based nearest neighbors recommender.

Uses of ItemIndex in es.uam.eps.ir.ranksys.nn.item.neighborhood

Classes in es.uam.eps.ir.ranksys.nn.item.neighborhood that implement ItemIndex

Modifier and Type	Class and Description
class	CachedItemNeighborhood<I> Cached item neighborhood.
class	ItemNeighborhood<I> Item neighborhood.
class	ThresholdItemNeighborhood<I> Threshold item neighborhood.
class	TopKItemNeighborhood<I> Top-k item neighborhood.

Uses of ItemIndex in es.uam.eps.ir.ranksys.nn.item.sim

Classes in es.uam.eps.ir.ranksys.nn.item.sim that implement ItemIndex

Modifier and Type	Class and Description
class	ItemSimilarity<I> Item similarity.
class	SetCosineItemSimilarity<I> Set cosine similarity.
class	SetJaccardItemSimilarity<I> Set Jaccard item similarity.
class	VectorCosineItemSimilarity<I> Vector cosine item similarity.
class	VectorJaccardItemSimilarity<I> Vector Jaccard item similarity.

Uses of ItemIndex in es.uam.eps.ir.ranksys.nn.user

Classes in es.uam.eps.ir.ranksys.nn.user that implement ItemIndex

Modifier and Type	Class and Description
class	UserNeighborhoodRecommender<U,I> User-based nearest neighbors recommender.

Uses of ItemIndex in es.uam.eps.ir.ranksys.novdiv.reranking

Classes in es.uam.eps.ir.ranksys.novdiv.reranking that implement ItemIndex

Modifier and Type	Class and Description
class	RerankingRecommender<U,I> Wrapper for re-ranker that re-ranks the output of another recommender.

Uses of ItemIndex in es.uam.eps.ir.ranksys.novelty.inverted.neighborhood

Classes in es.uam.eps.ir.ranksys.novelty.inverted.neighborhood that implement ItemIndex

Modifier and Type	Class and Description
class	InvertedItemNeighborhood<I> Inverted item neighborhood.

Uses of ItemIndex in es.uam.eps.ir.ranksys.rec.fast

Subinterfaces of ItemIndex in es.uam.eps.ir.ranksys.rec.fast

Modifier and Type	Interface and Description
interface	FastRecommender<U,I> Fast recommender.

Classes in es.uam.eps.ir.ranksys.rec.fast that implement ItemIndex

Modifier and Type	Class and Description
class	AbstractFastRecommender<U,I> Abstract (fast) recommender.
class	FastRankingRecommender<U,I> Recommender for top-n recommendations.

Uses of ItemIndex in es.uam.eps.ir.ranksys.rec.fast.basic

Classes in es.uam.eps.ir.ranksys.rec.fast.basic that implement ItemIndex

Modifier and Type	Class and Description
class	PopularityRecommender<U,I> Popularity-based recommender.
class	RandomRecommender<U,I> Random recommender.

Uses of ItemIndex in org.ranksys.compression.preferences

Classes in org.ranksys.compression.preferences that implement ItemIndex

Modifier and Type	Class and Description
class	AbstractCODECPreferenceData<U,I,Cu,Ci> Abstract PreferenceData using compression.
class	BinaryCODECPreferenceData<U,I,Cu,Ci> PreferenceData for binary data using compression.
class	RatingCODECPreferenceData<U,I,Cu,Ci,Cv> PreferenceData for rating data using compression.

Uses of ItemIndex in org.ranksys.core.preference

Subinterfaces of ItemIndex in org.ranksys.core.preference

Modifier and Type	Interface and Description
interface	PointWisePreferenceData<U,I> Point-wise preference data.
interface	PreferenceSampler<U,I> Preference sampler, for stochastic algorithms.

Uses of ItemIndex in org.ranksys.fast.preference

Subinterfaces of ItemIndex in org.ranksys.fast.preference

Modifier and Type	Interface and Description
interface	FastPointWisePreferenceData<U,I> Fast point-wise preference data.
interface	FastPreferenceSampler<U,I> Fast preference sampler, for stochastic algorithms.

Classes in org.ranksys.fast.preference that implement ItemIndex

Modifier and Type	Class and Description
class	AbstractFastPreferenceSampler<U,I> Abstract fast preference sampler, implementing methods from FastUserIndex and FastItemIndex.
class	IteratorsAbstractFastPreferenceData<U,I> Extends AbstractFastPreferenceData and implements the data access stream-based methods using the iterator-based ones.
class	StreamsAbstractFastPreferenceData<U,I> Extends AbstractFastPreferenceData and implements the data access iterator-based methods using the stream-based ones.

Uses of ItemIndex in org.ranksys.fm

Classes in org.ranksys.fm that implement ItemIndex

Modifier and Type	Class and Description
class	PreferenceFM<U,I> Wraps a factorisation machine to work with RankSys user-preference pairs.

Uses of ItemIndex in org.ranksys.fm.rec

Classes in org.ranksys.fm.rec that implement ItemIndex

Modifier and Type	Class and Description
class	FMRecommender<U,I> A recommender using a factorisation machine.

Uses of ItemIndex in org.ranksys.lda

Classes in org.ranksys.lda that implement ItemIndex

Modifier and Type	Class and Description
class	LDARecommender<U,I> LDA recommender.

Uses of ItemIndex in org.ranksys.rec.fast

Classes in org.ranksys.rec.fast that implement ItemIndex

Modifier and Type	Class and Description
class	FastEnsembleRecommender<U,I> Ensemble of recommenders, performs a linear combination of the scores given by several recommenders.