net.librec.similarity

Class MSDSimilarity

java.lang.Object

net.librec.similarity.AbstractRecommenderSimilarity

net.librec.similarity.MSDSimilarity

All Implemented Interfaces:

RecommenderSimilarity

public class MSDSimilarity
extends AbstractRecommenderSimilarity

Calculate Mean Squared Difference (MSD) similarity proposed by Shardanand and Maes [1995]: Social information filtering: Algorithms for automating "word of mouth"

Mean Squared Difference (MSD) Similarity

Author:

zhanghaidong

Field Summary

Fields inherited from class net.librec.similarity.AbstractRecommenderSimilarity

conf, similarityMatrix

Constructor Summary

Constructors

Constructor and Description
MSDSimilarity()

Method Summary

Methods

Modifier and Type	Method and Description
protected double	getSimilarity(java.util.List<? extends java.lang.Number> thisList, java.util.List<? extends java.lang.Number> thatList) Calculate the similarity between thisList and thatList.

Methods inherited from class net.librec.similarity.AbstractRecommenderSimilarity

buildSimilarityMatrix, buildSocialSimilarityMatrix, getCorrelation, getSimilarityMatrix

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MSDSimilarity

public MSDSimilarity()

Method Detail

getSimilarity

protected double getSimilarity(java.util.List<? extends java.lang.Number> thisList,
                   java.util.List<? extends java.lang.Number> thatList)

Calculate the similarity between thisList and thatList.

Specified by:

getSimilarity in class AbstractRecommenderSimilarity

Parameters:

thisList - this list

thatList - that list

Returns:

similarity