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

Class AlphaNDCG<U,I,F>

java.lang.Object

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

es.uam.eps.ir.ranksys.diversity.intentaware.metrics.AlphaNDCG<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 AlphaNDCG<U,I,F>
extends AbstractRecommendationMetric<U,I>

alpha-nDCG metric. C.L. Clarke, M. Kolla, G.V. Cormack, O. Vechtomova, A. Ashkan, S. Büttcher and I. MacKinnon. Novelty and diversity in Information Retrieval evauation. SIGIR 2008.

Author:

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

Constructor Summary

Constructors

Constructor and Description
AlphaNDCG(int cutoff, double alpha, FeatureData<I,F,?> featureData, BinaryRelevanceModel<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

AlphaNDCG

public AlphaNDCG(int cutoff,
                 double alpha,
                 FeatureData<I,F,?> featureData,
                 BinaryRelevanceModel<U,I> relModel)

Constructor.

Parameters:

cutoff - maximum length of the recommendations lists to evaluate

alpha - tolerance to redundancy parameter

featureData - feature data

relModel - 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