
class  BiasedMatrixFactorization 
 Matrix factorization with explicit user and item bias, learning is performed by stochastic gradient descent More...


class  BiPolarSlopeOne 
 Bipolar frequencyweighted SlopeOne rating prediction More...


class  CoClustering 
 Coclustering for rating prediction More...


class  Constant 
 Uses a constant rating value for prediction More...


class  EntityAverage 
 Abstract class that uses an average (by entity) rating value for predictions More...


class  Extensions 
 Class that contains static methods for rating prediction More...


class  ExternalRatingPredictor 
 Uses externally computed predictions More...


class  FactorWiseMatrixFactorization 
 Matrix factorization with factorwise learning More...


class  FoldInRatingPredictorExtensions 
 Extension methods for IFoldInRatingPredictor More...


class  GlobalAverage 
 Uses the average rating value over all ratings for prediction More...


class  GSVDPlusPlus 
 Item Attribute Aware SVD++: Matrix factorization that also takes into account what users have rated and its attributes. More...


interface  IFoldInRatingPredictor 
 Rating predictor that allows folding in new users More...


interface  IIncrementalRatingPredictor 
 Interface for rating predictors which support incremental training More...


class  IncrementalRatingPredictor 
 Base class for rating predictors that support incremental training More...


interface  IRatingPredictor 
 Interface for rating predictors More...


class  ItemAttributeKNN 
 Attributeaware weighted itembased kNN recommender More...


class  ItemAverage 
 Uses the average rating value of an item for prediction More...


class  ItemKNN 
 Weighted itembased kNN More...


interface  ITimeAwareRatingPredictor 
 Interface for timeaware rating predictors More...


interface  ITransductiveRatingPredictor 
 Rating predictor that knows beforehand what it will have to rate More...


class  KNN 
 Base class for rating predictors that use some kind of kNN More...


class  LatentFeatureLogLinearModel 
 Latentfeature log linear model More...


class  MatrixFactorization 
 Simple matrix factorization class, learning is performed by stochastic gradient descent (SGD) More...


class  NaiveBayes 
 Attributeaware rating predictor using Naive Bayes More...


class  Random 
 Uses a random rating value for prediction More...


class  RatingPredictor 
 Abstract class for rating predictors that keep the rating data in memory for training (and possibly prediction) More...


class  SigmoidCombinedAsymmetricFactorModel 
 Asymmetric factor model which represents items in terms of the users that rated them, and users in terms of the items they rated More...


class  SigmoidItemAsymmetricFactorModel 
 Asymmetric factor model More...


class  SigmoidSVDPlusPlus 
 SVD++: Matrix factorization that also takes into account what users have rated; variant that uses a sigmoid function More...


class  SigmoidUserAsymmetricFactorModel 
 Asymmetric factor model which represents items in terms of the users that rated them More...


class  SlopeOne 
 Frequencyweighted SlopeOne rating prediction More...


class  SocialMF 
 Socialnetworkaware matrix factorization More...


class  SVDPlusPlus 
 SVD++: Matrix factorization that also takes into account what users have rated More...


class  TimeAwareBaseline 
 Timeaware bias model More...


class  TimeAwareBaselineWithFrequencies 
 Timeaware bias model with frequencies More...


class  TimeAwareRatingPredictor 
 Abstract class for timeaware rating predictors More...


class  TransductiveRatingPredictorExtensions 
 Helper methods for ITransductiveRatingPredictor More...


class  UserAttributeKNN 
 Weighted kNN recommender based on user attributes More...


class  UserAverage 
 Uses the average rating value of a user for predictions More...


class  UserItemBaseline 
 Baseline method for rating prediction More...


class  UserKNN 
 Weighted userbased kNN More...

