org.ranksys.diversity.prop.metrics

Class CPR<U,I,F>

java.lang.Object

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

org.ranksys.diversity.prop.metrics.CPR<U,I,F>

Type Parameters:

U - type of user

I - type of item

F - type of feature

All Implemented Interfaces:

RecommendationMetric<U,I>

public class CPR<U,I,F>
extends AbstractRecommendationMetric<U,I>

Cumulative proportionality metric.
Dang, V., Croft, W. B. (2012). Diversity by Proportionality: An Election-based Approach to Search Result Diversification. In Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 65–74). New York, NY, USA: ACM. doi:10.1145/2348283.2348296

Author:

Saúl Vargas (Saul.Vargas@mendeley.com)

Constructor Summary

Constructors

Constructor and Description
CPR(BinomialModel<U,I,F> binomialModel, FeatureData<I,F,?> featureData, int cutoff, RelevanceModel<U,I> relModel) 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

CPR

public CPR(BinomialModel<U,I,F> binomialModel,
           FeatureData<I,F,?> featureData,
           int cutoff,
           RelevanceModel<U,I> relModel)

Constructor.

Parameters:

binomialModel - binomial model for features

featureData - feature data

cutoff - metric cutoff

relModel - relevance model

Method Detail

evaluate

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

Description copied from interface: RecommendationMetric

Returns a score for the recommendation list.

Parameters:

recommendation - recommendation list

Returns:

score of the metric to the recommendation