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Interface Summary | |
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ClusterSimilarity | Returns the "similarity" between two clusters of users, according to some definition of similarity. |
TopItems.Estimator<T> |
Class Summary | |
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AbstractRecommender | |
CachingRecommender |
A Recommender which caches the results from another Recommender in memory. |
FarthestNeighborClusterSimilarity | Defines cluster similarity as the smallest similarity between any two users in the clusters -- that is, it says that clusters are close when all pairs of their members have relatively high similarity. |
GenericBooleanPrefUserBasedRecommender | A variant on GenericUserBasedRecommender which is appropriate for use when no notion of preference
value exists in the data. |
GenericItemBasedRecommender |
A simple Recommender which uses a given
DataModel and
ItemSimilarity to produce recommendations. |
GenericItemBasedRecommender.MostSimilarEstimator | |
GenericRecommendedItem |
A simple implementation of RecommendedItem . |
GenericUserBasedRecommender |
A simple Recommender which uses a given DataModel and UserNeighborhood to produce
recommendations. |
ItemAverageRecommender | A simple recommender that always estimates preference for an item to be the average of all known preference values for that item. |
ItemUserAverageRecommender |
Like ItemAverageRecommender , except that estimated preferences are adjusted for the users' average
preference value. |
NearestNeighborClusterSimilarity | Defines cluster similarity as the largest similarity between any two users in the clusters -- that is, it says that clusters are close when some pair of their members has high similarity. |
NullRescorer<T> |
A simple Rescorer which always returns the original score. |
RandomRecommender | Produces random recommendations and preference estimates. |
SimilarUser | Simply encapsulates a user and a similarity value. |
TopItems | A simple class that refactors the "find top N things" logic that is used in several places. |
TreeClusteringRecommender |
A Recommender that clusters users, then determines the
clusters' top recommendations. |
TreeClusteringRecommender2 |
A Recommender that clusters users, then determines the
clusters' top recommendations. |
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