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Packages that use CandidateItemsStrategy | |
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org.apache.mahout.cf.taste.impl.recommender | |
org.apache.mahout.cf.taste.impl.recommender.svd |
Uses of CandidateItemsStrategy in org.apache.mahout.cf.taste.impl.recommender |
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Classes in org.apache.mahout.cf.taste.impl.recommender that implement CandidateItemsStrategy | |
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class |
AbstractCandidateItemsStrategy
Abstract base implementation for retrieving candidate items to recommend |
class |
AllSimilarItemsCandidateItemsStrategy
returns the result of ItemSimilarity.allSimilarItemIDs(long) as candidate items |
class |
AllUnknownItemsCandidateItemsStrategy
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class |
PreferredItemsNeighborhoodCandidateItemsStrategy
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class |
SamplingCandidateItemsStrategy
Returns all items that have not been rated by the user (3) and that were preferred by another user (2) that has preferred at least one item (1) that the current user has preferred too. |
Methods in org.apache.mahout.cf.taste.impl.recommender that return CandidateItemsStrategy | |
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protected static CandidateItemsStrategy |
AbstractRecommender.getDefaultCandidateItemsStrategy()
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Constructors in org.apache.mahout.cf.taste.impl.recommender with parameters of type CandidateItemsStrategy | |
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AbstractRecommender(DataModel dataModel,
CandidateItemsStrategy candidateItemsStrategy)
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GenericBooleanPrefItemBasedRecommender(DataModel dataModel,
ItemSimilarity similarity,
CandidateItemsStrategy candidateItemsStrategy,
MostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy)
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GenericItemBasedRecommender(DataModel dataModel,
ItemSimilarity similarity,
CandidateItemsStrategy candidateItemsStrategy,
MostSimilarItemsCandidateItemsStrategy mostSimilarItemsCandidateItemsStrategy)
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Uses of CandidateItemsStrategy in org.apache.mahout.cf.taste.impl.recommender.svd |
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Constructors in org.apache.mahout.cf.taste.impl.recommender.svd with parameters of type CandidateItemsStrategy | |
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SVDRecommender(DataModel dataModel,
Factorizer factorizer,
CandidateItemsStrategy candidateItemsStrategy)
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SVDRecommender(DataModel dataModel,
Factorizer factorizer,
CandidateItemsStrategy candidateItemsStrategy,
PersistenceStrategy persistenceStrategy)
Create an SVDRecommender using a persistent store to cache factorizations. |
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