Uses of Interface
prea.recommender.Recommender

Packages that use Recommender

prea.main
prea.recommender
prea.recommender.baseline
prea.recommender.etc
prea.recommender.matrix
prea.recommender.memory

Uses of Recommender in prea.main

Methods in prea.main with parameters of type Recommender

static java.lang.String

Prea.testRecommender(java.lang.String algorithmName, Recommender r) Test interface for a recommender system.

Uses of Recommender in prea.recommender

Classes in prea.recommender that implement Recommender

class

CustomRecommender This is a skeleton class for user-defined custom recommenders.

Fields in prea.recommender declared as Recommender

private Recommender

UnitTest.targetRecommender

Constructors in prea.recommender with parameters of type Recommender

UnitTest(Recommender r, SparseMatrix rm, SparseMatrix tm)
Construct an instance of unit test module.

Uses of Recommender in prea.recommender.baseline

Classes in prea.recommender.baseline that implement Recommender

class	Average The class implementing a baseline, predicting by overall average of training set ratings.
class	BaselineRecommender This is an abstract class implementing five baselines, including constant model, overall average, user average, item average, and random.
class	Constant The class implementing a baseline, always predicting with the given constant.
class	ItemAverage The class implementing a baseline, predicting by the average of target item ratings.
class	Random The class implementing a baseline, predicting uniformly randomly from the score range.
class	UserAverage The class implementing a baseline, predicting by the average of target user ratings.

Uses of Recommender in prea.recommender.etc

Classes in prea.recommender.etc that implement Recommender

class	FastNPCA This is a class implementing Fast Nonparametric Principal Component Analysis (NPCA).
class	NonlinearPMF This is a class implementing Non-linear Probabilistic Matrix Factorization.
class	RankBased This is a class implementing rank-based collaborative filtering.
class	SlopeOne This is a class implementing Slope-One algorithm.

Uses of Recommender in prea.recommender.matrix

Classes in prea.recommender.matrix that implement Recommender

class	BayesianPMF This is a class implementing Bayesian Probabilistic Matrix Factorization.
class	MatrixFactorizationRecommender This is an abstract class implementing four matrix-factorization-based methods including Regularized SVD, NMF, PMF, and Bayesian PMF.
class	NMF This is a class implementing Non-negative Matrix Factorization.
class	PMF This is a class implementing Probabilistic Matrix Factorization.
class	RegularizedSVD This is a class implementing Regularized SVD (Singular Value Decomposition).

Uses of Recommender in prea.recommender.memory

Classes in prea.recommender.memory that implement Recommender

class	ItemBased The class implementing item-based neighborhood method, predicting by referring to rating matrix for each query.
class	MemoryBasedRecommender The class implementing two memory-based (neighborhood-based) methods, predicting by referring to rating matrix for each query.
class	UserBased The class implementing user-based neighborhood method, predicting by referring to rating matrix for each query.