Package | Description |
---|---|
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.user |
User-based nearest neighbors recommenders.
|
es.uam.eps.ir.ranksys.novdiv.reranking |
Re-rankers.
|
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.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.
|
Modifier and Type | Class and Description |
---|---|
class |
MFRecommender<U,I>
Matrix factorization recommender.
|
Modifier and Type | Class and Description |
---|---|
class |
ItemNeighborhoodRecommender<U,I>
Item-based nearest neighbors recommender.
|
Modifier and Type | Class and Description |
---|---|
class |
UserNeighborhoodRecommender<U,I>
User-based nearest neighbors recommender.
|
Modifier and Type | Class and Description |
---|---|
class |
RerankingRecommender<U,I>
Wrapper for re-ranker that re-ranks the output of another recommender.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractFastRecommender<U,I>
Abstract (fast) recommender.
|
class |
FastRankingRecommender<U,I>
Recommender for top-n recommendations.
|
Modifier and Type | Class and Description |
---|---|
class |
PopularityRecommender<U,I>
Popularity-based recommender.
|
class |
RandomRecommender<U,I>
Random recommender.
|
Modifier and Type | Class and Description |
---|---|
class |
FMRecommender<U,I>
A recommender using a factorisation machine.
|
Modifier and Type | Class and Description |
---|---|
class |
LDARecommender<U,I>
LDA recommender.
|
Modifier and Type | Class and Description |
---|---|
class |
FastEnsembleRecommender<U,I>
Ensemble of recommenders, performs a linear combination of the scores
given by several recommenders.
|
Copyright © 2016. All rights reserved.