RankSys 0.4.3 API

Packages

Package	Description
es.uam.eps.ir.ranksys.core	Core interfaces and classes in RankSys.
es.uam.eps.ir.ranksys.core.feature	Classes for accessing item-feature data.
es.uam.eps.ir.ranksys.core.index	Indexes for users, items and features.
es.uam.eps.ir.ranksys.core.model	Classes for user models.
es.uam.eps.ir.ranksys.core.preference	Classes for accessing user-item preferences.
es.uam.eps.ir.ranksys.core.util	Generic utilities.
es.uam.eps.ir.ranksys.core.util.topn	Bounded min-heaps to keep the top-n values.
es.uam.eps.ir.ranksys.diversity.binom	Binomial genre-diversity model.
es.uam.eps.ir.ranksys.diversity.binom.metrics	Binomial metrics.
es.uam.eps.ir.ranksys.diversity.binom.reranking	Binomial re-rankers.
es.uam.eps.ir.ranksys.diversity.distance.metrics	Distance-based metrics.
es.uam.eps.ir.ranksys.diversity.distance.reranking	Distance-based rerankers.
es.uam.eps.ir.ranksys.diversity.intentaware	Intent-aware model.
es.uam.eps.ir.ranksys.diversity.intentaware.metrics	Intent-aware metrics.
es.uam.eps.ir.ranksys.diversity.intentaware.reranking	Intent-aware re-rankers.
es.uam.eps.ir.ranksys.diversity.other.metrics	Other diversity metrics.
es.uam.eps.ir.ranksys.diversity.sales.metrics	Sales diversity metrics.
es.uam.eps.ir.ranksys.examples	Example main programs for recommenders, metrics and rerankers.
es.uam.eps.ir.ranksys.fast	Core classes of RankSys-fast.
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.fast.utils	Utilities for RankSys-module.
es.uam.eps.ir.ranksys.fast.utils.topn	Fast versions of TopN.
es.uam.eps.ir.ranksys.metrics	Interfaces and abstract classes for metrics.
es.uam.eps.ir.ranksys.metrics.basic	Implementations of basic, common metrics.
es.uam.eps.ir.ranksys.metrics.rank	Ranking discount models.
es.uam.eps.ir.ranksys.metrics.rel	Relevance models.
es.uam.eps.ir.ranksys.mf	Matrix factorization base classes.
es.uam.eps.ir.ranksys.mf.als	Alternating least-squares factorization.
es.uam.eps.ir.ranksys.mf.plsa	Probabilistic latent semantic analysis.
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.neighborhood	Neighborhoods.
es.uam.eps.ir.ranksys.nn.sim	Similarities.
es.uam.eps.ir.ranksys.nn.user	User-based nearest neighbors recommenders.
es.uam.eps.ir.ranksys.nn.user.neighborhood	User neighborhoods.
es.uam.eps.ir.ranksys.nn.user.sim	User similarities.
es.uam.eps.ir.ranksys.novdiv.distance	Item distance models.
es.uam.eps.ir.ranksys.novdiv.itemnovelty	Item novelty models.
es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics	Item novelty metrics.
es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking	Item novelty re-rankers.
es.uam.eps.ir.ranksys.novdiv.reranking	Re-rankers.
es.uam.eps.ir.ranksys.novelty.inverted.br	Bayesian probabilistic reformulations.
es.uam.eps.ir.ranksys.novelty.inverted.neighborhood	Inverted neighborhoods.
es.uam.eps.ir.ranksys.novelty.longtail	Long Tail novelty.
es.uam.eps.ir.ranksys.novelty.longtail.metrics	Long Tail novelty metrics.
es.uam.eps.ir.ranksys.novelty.longtail.reranking	Long Tail novelty re-rankers.
es.uam.eps.ir.ranksys.novelty.sales	Sales novelty.
es.uam.eps.ir.ranksys.novelty.sales.metrics	Sales novelty metrics.
es.uam.eps.ir.ranksys.novelty.sales.reranking	Sales novelty re-rankers.
es.uam.eps.ir.ranksys.novelty.temporal	Temporal novelty.
es.uam.eps.ir.ranksys.novelty.temporal.metrics	Temporal novelty metrics.
es.uam.eps.ir.ranksys.novelty.temporal.reranking	Temporal novelty re-rankers.
es.uam.eps.ir.ranksys.novelty.unexp	Unexpectedness.
es.uam.eps.ir.ranksys.novelty.unexp.metrics	Unexpectedness metrics.
es.uam.eps.ir.ranksys.novelty.unexp.reranking	Unexpectedness re-rankers.
es.uam.eps.ir.ranksys.rec	Base classes and interfaces for recommendation algorithms.
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.
es.uam.eps.ir.ranksys.rec.runner	Recommender runners.
es.uam.eps.ir.ranksys.rec.runner.fast	Fast recommender runners.
org.ranksys.compression.codecs	Core interfaces and classes for codecs.
org.ranksys.compression.codecs.dsi	Codecs from dsiutils.
org.ranksys.compression.codecs.lemire	Codecs from Lemire's JavaFastPFOR.
org.ranksys.compression.preferences	Compressed PreferenceData for binary and rating data.
org.ranksys.compression.util	Utilities for compression techniques.
org.ranksys.core.preference	Classes for accessing user-item preferences.
org.ranksys.core.util	Generic utilities.
org.ranksys.core.util.iterators	Primitive iterators.
org.ranksys.core.util.sampling	Sampling utilities.
org.ranksys.core.util.tuples	Primitive tuples.
org.ranksys.diversity.prop.metrics	Proportionality metrics.
org.ranksys.diversity.prop.reranking	Proportionality re-ranking methods.
org.ranksys.examples	Example main programs for compression.
org.ranksys.fast.preference	Fast versions of PreferenceData.
org.ranksys.fm	Wrappers for factorisation machines.
org.ranksys.fm.data	Implementation of FMData for recommendation tasks.
org.ranksys.fm.rec	FM-based recommenders.
org.ranksys.formats.factorization	Write and read format for factorised models.
org.ranksys.formats.feature	Write and read format for FeatureData.
org.ranksys.formats.index	Write and read format for (User|Item|Feature)Index.
org.ranksys.formats.parsing	String parsers.
org.ranksys.formats.preference	Write and read format for preferences.
org.ranksys.formats.rec	Write and read format for recommendations in files.
org.ranksys.lda	LDA topic modelling and recommender.
org.ranksys.metrics.basic	Implementations of basic, common metrics.
org.ranksys.novdiv.reranking	Re-rankers.
org.ranksys.rec.fast	Fast version of base classes and interfaces for recommendation algorithms.