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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. |
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