Package 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.

See: Description

Class Summary

Class	Description
AdjustedCosine	Implements traditional Adjusted Cosine as CF similarity metric.
CJMSD	Implements the following CF similarity metric: Bobadilla, J., Ortega, F., Hernando, A., & Arroyo, A. (2012).
Correlation	Implements traditional Pearson Correlation as CF similarity metric.
CorrelationConstrained	Implements traditional Pearson Correlation Constrained as CF similarity metric.
Cosine	Implements traditional Cosine as CF similarity metric.
Jaccard	Implements traditional Jaccard Index as CF similarity metric.
JMSD	Implements the following CF similarity metric: Bobadilla, J., Serradilla, F., & Bernal, J
MSD	Implements traditional MSD as CF similarity metric.
PIP	Implements the following CF similarity metric: Ahn, H.
Singularities	Implements the following CF similarity metric: Bobadilla, J., Ortega, F., & Hernando, A
SpearmanRank	Implements traditional Spearman Rank as CF similarity metric.
UserSimilarityMetric	This class process the similarity measure between two users.

Package es.upm.etsisi.cf4j.recommender.knn.userSimilarityMetric Description

This package contains different implementations of user-to-user similarity metric used in the user-to-user knn based collaborative filtering algorithm.