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See:
Description
Interface Summary | |
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IIncrementalItemRecommender | Interface for item recommenders |
Class Summary | |
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BPRLinear | Linear model optimized for BPR. |
BPRMF | Matrix factorization model for item prediction (ranking) optimized using BPR. |
Extensions | Class that contains static methods for item prediction. |
IncrementalItemRecommender | Base class for item recommenders that support incremental updates. |
ItemAttributeKNN | k-nearest neighbor item-based collaborative filtering using cosine-similarity over the item attibutes. |
ItemKNN | Unweighted k-nearest neighbor item-based collaborative filtering using cosine similarity. |
ItemRecommender | Abstract item recommender class that loads the (positive-only implicit feedback) training data into memory and provides flexible access to it. |
KNN | Base class for item recommenders that use some kind of kNN model. |
MF | Abstract class for Matrix Factorization based item predictors. |
MostPopular | Most-popular item recommender Items are weighted by how often they have been seen in the past. |
Perfect | Perfect Item Recommender which simply reflects the supplied test results. |
Random | An Item Recommender which returns random prediction values uniformly distributed between 0.0 and 1.0. |
SoftMarginRankingMF | Matrix Factorization model for item prediction optimized for a soft margin (hinge) ranking loss, using stochastic gradient descent (as in BPR-MF). |
UserAttributeKNN | k-nearest neighbor user-based collaborative filtering using cosine-similarity over the user attibutes. |
UserKNN | k-nearest neighbor user-based collaborative filtering using cosine-similarity (unweighted). |
WeightedBPRMF | Weighted BPR-MF with frequency-adjusted sampling. |
WeightedItemAttributeKNN | Weighted k-nearest neighbor item-based collaborative filtering using cosine-similarity over the item attibutes. |
WeightedItemHierarchicalAttributeKNN | Weighted k-nearest neighbor item-based collaborative filtering using cosine-similarity over the hierarchical item attibutes. |
WeightedItemKNN | Weighted k-nearest neighbor item-based collaborative filtering using cosine similarity. |
WeightedUserKNN | Weighted k-nearest neighbor user-based collaborative filtering using cosine-similarity. |
Worst | Worst possible Item Recommender which reflects the inverse of the supplied test results. |
WRMF | Weighted matrix factorization method proposed by Hu et al. |
Zero | Constant item recommender for use as experimental baseline. |
Provides item recommenders and some helper classes for item recommendation.
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