Uses of Class
es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric.UserSimilarityMetric
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Packages that use UserSimilarityMetric Package Description es.upm.etsisi.cf4j.recommender.knn This package contains the implementation of different knn based collaborative filtering recommenders.es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric This package contains different implementations of user-to-user similarity metric used in the user-to-user knn based collaborative filtering algorithm. -
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Uses of UserSimilarityMetric in es.upm.etsisi.cf4j.recommender.knn
Fields in es.upm.etsisi.cf4j.recommender.knn declared as UserSimilarityMetric Modifier and Type Field Description protected UserSimilarityMetricUserKNN. metricSimilarity metric to compute the similarity between two usersConstructors in es.upm.etsisi.cf4j.recommender.knn with parameters of type UserSimilarityMetric Constructor Description UserKNN(DataModel datamodel, int numberOfNeighbors, UserSimilarityMetric metric, UserKNN.AggregationApproach aggregationApproach)Recommender constructor -
Uses of UserSimilarityMetric in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric
Subclasses of UserSimilarityMetric in es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric Modifier and Type Class Description classAdjustedCosineImplements traditional Adjusted Cosine as CF similarity metric.classCJMSDImplements the following CF similarity metric: Bobadilla, J., Ortega, F., Hernando, A., & Arroyo, A. (2012).classCorrelationImplements traditional Pearson Correlation as CF similarity metric.classCorrelationConstrainedImplements traditional Pearson Correlation Constrained as CF similarity metric.classCosineImplements traditional Cosine as CF similarity metric.classJaccardImplements traditional Jaccard Index as CF similarity metric.classJMSDImplements the following CF similarity metric: Bobadilla, J., Serradilla, F., & Bernal, JclassMSDImplements traditional MSD as CF similarity metric.classPIPImplements the following CF similarity metric: Ahn, H.classSingularitiesImplements the following CF similarity metric: Bobadilla, J., Ortega, F., & Hernando, AclassSpearmanRankImplements traditional Spearman Rank as CF similarity metric.
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