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Interface Summary | |
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Factorizer | Implementation must be able to create a factorization of a rating matrix |
PersistenceStrategy | Provides storage for Factorization s |
Class Summary | |
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AbstractFactorizer | base class for Factorizer s, provides ID to index mapping |
ALSWRFactorizer | factorizes the rating matrix using "Alternating-Least-Squares with Weighted-λ-Regularization" as described in the paper "Large-scale Collaborative Filtering for the Netflix Prize" |
ExpectationMaximizationSVDFactorizer | Calculates the SVD using an Expectation Maximization algorithm. |
Factorization | a factorization of the rating matrix |
FilePersistenceStrategy | Provides a file-based persistent store. |
NoPersistenceStrategy | A PersistenceStrategy which does nothing. |
SVDRecommender | A Recommender that uses matrix factorization (a projection of users
and items onto a feature space) |
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