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

Class CorrelationConstrained

java.lang.Object

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

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

All Implemented Interfaces:

Partible<Item>

public class CorrelationConstrained
extends ItemSimilarityMetric

This class implements the Constrained Correlation as CF similarity metric for items.

Field Summary

Fields inherited from class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.ItemSimilarityMetric

datamodel, similarities

Constructor Summary

Constructors

Constructor and Description
CorrelationConstrained(double median) Constructor of the similarity metric

Method Summary

Modifier and Type	Method and Description
double	similarity(Item item, Item otherItem) This method must returns the similarity between two items.
String	toString()

Methods inherited from class es.upm.etsisi.cf4j.recommender.knn.itemSimilarityMetric.ItemSimilarityMetric

afterRun, beforeRun, getSimilarities, run, setDatamodel

Methods inherited from class java.lang.Object

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

Constructor Detail

CorrelationConstrained

public CorrelationConstrained(double median)

Constructor of the similarity metric

Parameters:

median - Median of the ratings of the DataSet instance

Method Detail

similarity

public double similarity(Item item,
                         Item otherItem)

Description copied from class: ItemSimilarityMetric

This method must returns the similarity between two items.

If two items do not have a similarity value, the method must return Double.NEGATIVE_INFINITY.

The value returned by this method should be higher the greater the similarity between items.

Specified by:

similarity in class ItemSimilarityMetric

Parameters:

item - An item

otherItem - Other item

Returns:

Similarity between item and otherItem

toString

public String toString()

Overrides:

toString in class ItemSimilarityMetric