es.uam.eps.ir.ranksys.metrics.basic

Class AveragePrecision<U,I>

java.lang.Object

es.uam.eps.ir.ranksys.metrics.AbstractRecommendationMetric<U,I>

es.uam.eps.ir.ranksys.metrics.basic.AveragePrecision<U,I>

Type Parameters:

U - type of the users

I - type of the items

All Implemented Interfaces:

RecommendationMetric<U,I>

public class AveragePrecision<U,I>
extends AbstractRecommendationMetric<U,I>

Average Precision: average of the precision at each recall level.

Author:

Saúl Vargas (saul.vargas@uam.es)

Constructor Summary

Constructors

Constructor and Description
AveragePrecision(int cutoff, IdealRelevanceModel<U,I> relevanceModel) Constructor.

Method Summary

Modifier and Type	Method and Description
double	evaluate(Recommendation<U,I> recommendation) Returns a score for the recommendation list.

Methods inherited from class java.lang.Object

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

Constructor Detail

AveragePrecision

public AveragePrecision(int cutoff,
                        IdealRelevanceModel<U,I> relevanceModel)

Constructor.

Parameters:

cutoff - cutoff of the metric

relevanceModel - relevance model

Method Detail

evaluate

public double evaluate(Recommendation<U,I> recommendation)

Returns a score for the recommendation list.

Parameters:

recommendation - recommendation list

Returns:

score of the metric to the recommendation