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See:
Description
Interface Summary | |
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IIncrementalRatingPredictor | Interface for rating predictors which support incremental training |
IRatingPredictor | Interface for rating predictors. |
ITimeAwareRatingPredictor | Interface for time-aware rating predictors. |
Class Summary | |
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BiasedMatrixFactorization | Matrix factorization engine with explicit user and item bias. |
BiPolarSlopeOne | Bi-polar frequency-weighted Slope-One rating prediction. |
CoClustering | Co-clustering for rating prediction. |
Constant | Uses a constant rating value for prediction. |
EntityAverage | Abstract class that uses an average (by entity) rating value for predictions. |
Extensions | Class that contains static methods for rating prediction. |
FactorWiseMatrixFactorization | Matrix factorization with factor-wise learning. |
GlobalAverage | Uses the average rating value over all ratings for prediction. |
IncrementalRatingPredictor | Base class for rating predictors that support incremental training |
ItemAttributeKNN | Attribute-aware weighted item-based kNN recommender. |
ItemAverage | Uses the average rating value of an item for prediction. |
ItemKNN | Weighted item-based kNN. |
ItemKNNCosine | Weighted item-based kNN with cosine similarity. |
ItemKNNPearson | Weighted item-based kNN with pearson correlation. |
KNN | Base class for rating predictors that use some kind of kNN. |
LogisticRegressionMatrixFactorization | Matrix factorization with explicit user and item bias, learning is performed by stochastic gradient descent, optimized for the log likelihood. |
MatrixFactorization | Simple matrix factorization class, learning is performed by stochastic gradient descent. |
Random | A Rating Predictor which returns random prediction values uniformly distributed between 0.0 and 1.0. |
RatingPredictor | Abstract class for rating predictors that keep the rating data in memory for training (and possibly prediction) |
SlopeOne | Frequency-weighted Slope-One rating prediction. |
SocialMF | Social-network-aware matrix factorization. |
TimeAwareBaseline | Time-aware bias model. |
TimeAwareBaselineWithFrequencies | Time-aware bias model with frequencies. |
TimeAwareRatingPredictor | Abstract class for time-aware rating predictors. |
UserAttributeKNN | Weighted kNN recommender based on user attributes. |
UserAverage | Uses the average rating value of a user for predictions. |
UserItemBaseline | Baseline method for rating prediction Uses the average rating value, plus a regularized user and item bias for prediction. |
UserKNN | Weighted user-based kNN. |
UserKNNCosine | Weighted user-based kNN with cosine similarity. |
UserKNNPearson | Weighted user-based kNN with Pearson correlation. |
Provides rating predictors and some helper classes for rating prediction.
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