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| Class Summary | |
|---|---|
| AbstractItemSimilarity | |
| AveragingPreferenceInferrer | Implementations of this interface compute an inferred preference for a user and an item that the user has not expressed any preference for. |
| CachingItemSimilarity | Caches the results from an underlying ItemSimilarity implementation. |
| CachingUserSimilarity | Caches the results from an underlying UserSimilarity implementation. |
| CityBlockSimilarity | Implementation of City Block distance (also known as Manhattan distance) - the absolute value of the difference of each direction is summed. |
| EuclideanDistanceSimilarity | An implementation of a "similarity" based on the Euclidean "distance" between two users X and Y. |
| GenericItemSimilarity |
A "generic" GenericItemSimilarity.ItemItemSimilarity which takes a static list of precomputed item similarities and bases its
responses on that alone. |
| GenericItemSimilarity.ItemItemSimilarity | Encapsulates a similarity between two items. |
| GenericUserSimilarity | |
| GenericUserSimilarity.UserUserSimilarity | |
| LogLikelihoodSimilarity | See http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5962 and http://tdunning.blogspot.com/2008/03/surprise-and-coincidence.html. |
| PearsonCorrelationSimilarity | An implementation of the Pearson correlation. |
| SpearmanCorrelationSimilarity |
Like PearsonCorrelationSimilarity, but compares relative ranking of preference values instead of
preference values themselves. |
| TanimotoCoefficientSimilarity | An implementation of a "similarity" based on the Tanimoto coefficient, or extended Jaccard coefficient. |
| UncenteredCosineSimilarity | An implementation of the cosine similarity. |
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