CFEngine API

Uses of Class
org.recommender.algorithms.SimilarityWeight

Packages that use SimilarityWeight
org.recommender.algorithms A wide variety of different implementations of collaborative filtering recommendation and precition algorithms are provided. 
org.recommender.algorithms.Experimental   
 

Uses of SimilarityWeight in org.recommender.algorithms
 

Methods in org.recommender.algorithms that return SimilarityWeight
 SimilarityWeight SimplePearsonAlgorithm.getWeight(RatingArrays activeUserRatings, int neighbor, int itemId)
          Calculate CorrelationCoeff for an item between the activeuser and one neighbor.
 

Uses of SimilarityWeight in org.recommender.algorithms.Experimental
 

Methods in org.recommender.algorithms.Experimental that return SimilarityWeight
 SimilarityWeight TransNeighborAlgorithm.getWeight(int activeUser, int neighbor)
          Compute a correlation between activeUser and one neighbor.
 SimilarityWeight VectorSimilarityAlgorithm.getWeightIUF(int activeUser, int neighbor)
          Calculate weight between two users using inverse user frequency.
 SimilarityWeight UserItemAlgorithm.getWeight(int activeuser, int neighbor, int item)
          Calculate CorrelatinCoeff for an item between the activeuser and one neighbor.
 SimilarityWeight SimpleDistributionAlgorithm.getWeight(int activeuser, int neighbor, int itemId)
          Calculate CorrelatinCoeff for an item between the activeuser and one neighbor.
 SimilarityWeight PersonalityAlgorithm.getWeight(int activeuser, int neighbor)
          Calculate relative probability that the activeuser is of the same personality type as the neighbor.
 SimilarityWeight ItemItemAlgorithm.getWeight(int activeitem, int neighbor)
          Calculate similarity weight between two items.
 


CFEngine API

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