Uses of Interface
org.apache.mahout.cf.taste.impl.recommender.svd.Factorizer

Packages that use Factorizer
org.apache.mahout.cf.taste.impl.recommender.svd   
 

Uses of Factorizer in org.apache.mahout.cf.taste.impl.recommender.svd
 

Classes in org.apache.mahout.cf.taste.impl.recommender.svd that implement Factorizer
 class AbstractFactorizer
          base class for Factorizers, provides ID to index mapping
 class 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"
 class ExpectationMaximizationSVDFactorizer
          Calculates the SVD using an Expectation Maximization algorithm.
 

Constructors in org.apache.mahout.cf.taste.impl.recommender.svd with parameters of type Factorizer
SVDRecommender(DataModel dataModel, Factorizer factorizer)
           
SVDRecommender(DataModel dataModel, Factorizer factorizer, CandidateItemsStrategy candidateItemsStrategy)
           
SVDRecommender(DataModel dataModel, Factorizer factorizer, CandidateItemsStrategy candidateItemsStrategy, PersistenceStrategy persistenceStrategy)
          Create an SVDRecommender using a persistent store to cache factorizations.
SVDRecommender(DataModel dataModel, Factorizer factorizer, PersistenceStrategy persistenceStrategy)
          Create an SVDRecommender using a persistent store to cache factorizations.
 



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