Package es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric

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

Class Summary

Class	Description
AdjustedCosine	Implements traditional Adjusted Cosine as CF similarity metric for the items.
Correlation	This class Implements Pearson Correlation as CF similarity metric for the items.
CorrelationConstrained	This class implements the Constrained Correlation as CF similarity metric for items.
Cosine	Implements Cosine as CF similarity metric for the items.
ItemSimilarityMetric	This class process the similarity measure between two items.
Jaccard	This class Implements Jaccard Index as CF similarity metric for the items.
JMSD	This class implements JMSD as the similarity metric for the items.
MSD	Implements traditional MSD as CF similarity metric for items.
PIP	This class implements the PIP CF similarity metric for the items.
Singularities	This class implements the singularities CF similarity metric.
SpearmanRank	Implements traditional Spearman Rank as CF similarity metric for the items.