|
Name |
Description |
 |
BiasedMatrixFactorization |
Matrix factorization engine with explicit user and item bias |
 |
EntityAverage |
Abstract class that uses an average (by entity) rating value for predictions. |
 |
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 engine |
 |
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 |
 |
MatrixFactorization |
Simple matrix factorization class |
 |
Memory |
Abstract class for rating predictors that keep the rating data in memory for training (and possibly prediction) |
 |
SocialMF |
Social-network-aware matrix factorization |
 |
UserAttributeKNN |
Weighted kNN recommender engine 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 engine |
 |
UserKNNCosine |
Weighted user-based kNN with cosine similarity |
 |
UserKNNPearson |
Weighted user-based kNN with Pearson correlation |