| 이름 | 설명 |
|---|---|
| BiPolarSlopeOne | Bi-polar frequency-weighted Slope-One rating prediction |
| BiasedMatrixFactorization | Matrix factorization with explicit user and item bias, learning is performed by stochastic gradient descent |
| EntityAverage | Abstract class that uses an average (by entity) rating value for predictions |
| FactorWiseMatrixFactorization | Matrix factorization with factor-wise learning |
| GlobalAverage | Uses the average rating value over all ratings for prediction |
| 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 | Recommender that performs a matrix factorization optimized for regularized logit loss |
| MatrixFactorization | Simple matrix factorization class, learning is performed by stochastic gradient descent (SGD) |
| NewKNN | kNN-based rating predictors (not working yet) |
| Prediction | Class that contains static methods for rating prediction |
| RatingPredictor | Abstract class for rating predictors that keep the rating data in memory for training (and possibly prediction) |
| SimpleMatrixFactorization | Simple matrix factorization class |
| SlopeOne | Frequency-weighted Slope-One rating prediction |
| SocialMF | Social-network-aware matrix factorization |
| 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 |
| UserKNN | Weighted user-based kNN |
| UserKNNCosine | Weighted user-based kNN with cosine similarity |
| UserKNNPearson | Weighted user-based kNN with Pearson correlation |