es.uam.eps.ir.ranksys.diversity.intentaware.metrics

Class ERRIA<U,I,F>

java.lang.Object

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

es.uam.eps.ir.ranksys.diversity.intentaware.metrics.ERRIA<U,I,F>

Type Parameters:

U - type of the users

I - type of the items

F - type of the features

All Implemented Interfaces:

RecommendationMetric<U,I>

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

Intent-Aware Expected Reciprocal Rank metric. R. Agrawal, S. Gollapudi, A. Halverson and S. Ieong, S. Diversifying search results. WSDM 2009. O. Chapelle, D. Metlzer, Y. Zhang, and P. Grinspan. Expected reciprocal rank for graded relevance. CIKM 2009.

Author:

Saúl Vargas (saul.vargas@uam.es), Pablo Castells (pablo.castells@uam.es)

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ERRIA.ERRRelevanceModel<U,I> Relevance model for ERRIA.

Constructor Summary

Constructors

Constructor and Description
ERRIA(int cutoff, IntentModel<U,I,F> intentModel, ERRIA.ERRRelevanceModel<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

ERRIA

public ERRIA(int cutoff,
             IntentModel<U,I,F> intentModel,
             ERRIA.ERRRelevanceModel<U,I> relevanceModel)

Constructor.

Parameters:

cutoff - maximum length of the recommendations lists to evaluate

intentModel - intent-aware model

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