Uses of Class
es.upm.etsisi.cf4j.recommender.Recommender

Packages that use Recommender

Package	Description
es.upm.etsisi.cf4j.qualityMeasure	Contains the implementation of different quality measures for collaborative filtering based recommender systems.
es.upm.etsisi.cf4j.qualityMeasure.prediction	Contains the implementation of different quality measures oriented to predictions.
es.upm.etsisi.cf4j.qualityMeasure.recommendation	Contains the implementation of different quality measures oriented to recommendations.
es.upm.etsisi.cf4j.recommender.knn	This package contains the implementation of different knn based collaborative filtering recommenders.
es.upm.etsisi.cf4j.recommender.matrixFactorization	This package contains the implementation of different matrix factorization based collaborative filtering recommenders.
es.upm.etsisi.cf4j.recommender.neural	This package contains the implementation of different neural networks based collaborative filtering recommenders.
es.upm.etsisi.cf4j.util.optimization	This package includes optimization utils designed to tune recommenders' hyper-parameters.

Uses of Recommender in es.upm.etsisi.cf4j.qualityMeasure

Fields in es.upm.etsisi.cf4j.qualityMeasure declared as Recommender

Modifier and Type	Field	Description
protected Recommender	QualityMeasure.recommender	Recommender instance for which the quality measure are going to be computed

Constructors in es.upm.etsisi.cf4j.qualityMeasure with parameters of type Recommender

Constructor	Description
QualityMeasure(Recommender recommender)	Creates a new quality measure

Uses of Recommender in es.upm.etsisi.cf4j.qualityMeasure.prediction

Constructors in es.upm.etsisi.cf4j.qualityMeasure.prediction with parameters of type Recommender

Constructor	Description
Coverage(Recommender recommender)	Constructor of the class which basically calls the father's one.
MAE(Recommender recommender)	Constructor of the class which basically calls the father's one
Max(Recommender recommender)	Constructor of the class which basically calls the father's one.
MSE(Recommender recommender)	Constructor of the class which basically calls the father's one
MSLE(Recommender recommender)	Constructor of the class which basically calls the father's one
Perfect(Recommender recommender, double threshold)	Constructor of the class which basically calls the father's one
Perfect(Recommender recommender, Map<String,Object> params)	Constructor from a Map object with the quality measure parameters.
R2(Recommender recommender)	Constructor of the class which basically calls the father's one
RMSE(Recommender recommender)	Constructor of the class which basically calls the father's one

Uses of Recommender in es.upm.etsisi.cf4j.qualityMeasure.recommendation

Constructors in es.upm.etsisi.cf4j.qualityMeasure.recommendation with parameters of type Recommender

Constructor	Description
Discovery(Recommender recommender, int numberOfRecommendations)	Constructor of Novelty
Discovery(Recommender recommender, Map<String,Object> params)	Constructor from a Map object with the quality measure parameters.
Diversity(Recommender recommender, int numberOfRecommendations)	Constructor of Diversity
Diversity(Recommender recommender, Map<String,Object> params)	Constructor from a Map object with the quality measure parameters.
F1(Recommender recommender, int numberOfRecommendations, double relevantThreshold)	Constructor
F1(Recommender recommender, Map<String,Object> params)	Constructor from a Map object with the quality measure parameters.
NDCG(Recommender recommender, int numberOfRecommendations)	Constructor
NDCG(Recommender recommender, Map<String,Object> params)	Constructor from a Map object with the quality measure parameters.
Novelty(Recommender recommender, int numberOfRecommendations)	Constructor of Novelty
Novelty(Recommender recommender, Map<String,Object> params)	Constructor from a Map object with the quality measure parameters.
Precision(Recommender recommender, int numberOfRecommendations, double relevantThreshold)	Constructor of Precision
Precision(Recommender recommender, Map<String,Object> params)	Constructor from a Map object with the quality measure parameters.
Recall(Recommender recommender, int numberOfRecommendations, double relevantThreshold)	Constructor
Recall(Recommender recommender, Map<String,Object> params)	Constructor from a Map object with the quality measure parameters.

Uses of Recommender in es.upm.etsisi.cf4j.recommender.knn

Subclasses of Recommender in es.upm.etsisi.cf4j.recommender.knn

Modifier and Type	Class	Description
class	ItemKNN	Implements item-to-item KNN based collaborative filtering
class	UserKNN	Implements user-to-user KNN based collaborative filtering

Uses of Recommender in es.upm.etsisi.cf4j.recommender.matrixFactorization

Subclasses of Recommender in es.upm.etsisi.cf4j.recommender.matrixFactorization

Modifier and Type	Class	Description
class	BeMF	Implements Ortega, F., Lara-Cabrera, R., González-Prieto, Á., & Bobadilla, J. (2021).
class	BiasedMF	Implements Koren, Y., Bell, R., & Volinsky, C. (2009).
class	BNMF	Implements Hernando, A., Bobadilla, J., & Ortega, F. (2016).
class	CLiMF	Implements Shi, Y., Karatzoglou, A., Baltrunas, L., Larson, M., Oliver, N., & Hanjalic, A
class	DeepMF	Implements Lara-Cabrera, R., González-Prieto, Á., & Ortega, F. (2020).
class	DirMF	Implements Lara-Cabrera, R., González, Á., Ortega, F., & González-Prieto, Á. (2022).
class	HPF	Implements Gopalan, P., Hofman, J.
class	NMF	Implements Lee, D.
class	PMF	Implements Mnih, A., & Salakhutdinov, R.
class	SVDPlusPlus	Implements Koren, Y. (2008, August).
class	URP	Implements Marlin, B.

Uses of Recommender in es.upm.etsisi.cf4j.recommender.neural

Subclasses of Recommender in es.upm.etsisi.cf4j.recommender.neural

Modifier and Type	Class	Description
class	GMF	Implements He, X., Liao, L., Zhang, H., Nie, L., Hu, X., & Chua, T.
class	MLP	Implements He, X., Liao, L., Zhang, H., Nie, L., Hu, X., & Chua, T.
class	NCCF	Implements short method of Bobadilla, J., Ortega, F., Gutiérrez, A., & Alonso, S. (2020).
class	NeuMF	Implements He, X., Liao, L., Zhang, H., Nie, L., Hu, X., & Chua, T.

Uses of Recommender in es.upm.etsisi.cf4j.util.optimization

Constructor parameters in es.upm.etsisi.cf4j.util.optimization with type arguments of type Recommender

Constructor	Description
GridSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass)	GridSearch constructor
GridSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses)	GridSearch constructor
GridSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams)	GridSearch constructor
GridSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams)	GridSearch constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, int cv)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, int cv, long seed)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int cv)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int cv, long seed)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, int cv)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, int cv, long seed)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int cv)	GridSearchCV constructor
GridSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int cv, long seed)	GridSearchCV constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, double coverage)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, double coverage, long seed)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, int numIters)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, double coverage)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, double coverage, long seed)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int numIters)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int numIters, long seed)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int numIters, long seed, String progressPrefix)	RandomSearch constructor to be used inside es.upm.etsisi.cf4j.util.optimization package
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, double coverage)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, double coverage, long seed)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, int numIters)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, double coverage)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, double coverage, long seed)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int numIters)	RandomSearch constructor
RandomSearch(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int numIters, long seed)	RandomSearch constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, int cv, double coverage)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, int cv, double coverage, long seed)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, int cv, int numIters)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int cv, double coverage)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int cv, double coverage, long seed)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int cv, int numIters)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure>[] qualityMeasuresClasses, Map<String,Object>[] qualityMeasuresParams, int cv, int numIters, long seed)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, int cv, double coverage)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, int cv, double coverage, long seed)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, int cv, int numIters)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int cv, double coverage)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int cv, double coverage, long seed)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int cv, int numIters)	RandomSearchCV constructor
RandomSearchCV(DataModel datamodel, ParamsGrid grid, Class<? extends Recommender> recommenderClass, Class<? extends QualityMeasure> qualityMeasureClass, Map<String,Object> qualityMeasureParams, int cv, int numIters, long seed)	RandomSearchCV constructor