es.uam.eps.ir.ranksys.novelty.temporal.metrics

Class ETD<U,I>

java.lang.Object

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

es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics.ItemNoveltyMetric<U,I>

es.uam.eps.ir.ranksys.novelty.temporal.metrics.ETD<U,I>

Type Parameters:

U - type of the users

I - type of the items

All Implemented Interfaces:

RecommendationMetric<U,I>

public class ETD<U,I>
extends ItemNoveltyMetric<U,I>

Expected Temporal Discovery metric. S. Vargas. Novelty and diversity evaluation and enhancement in Recommender Systems. PhD Thesis. N. Lathia, S. Hailes, L. Capra, X. Amatriain. Temporal diversity in Recommender Systems. SIGIR 2010.

Author:

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

Field Summary

Fields inherited from class es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics.ItemNoveltyMetric

novelty

Constructor Summary

Constructors

Constructor and Description
ETD(int cutoff, TDItemNovelty<U,I> novelty, RelevanceModel<U,I> relevanceModel, RankingDiscountModel disc) 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

ETD

public ETD(int cutoff,
           TDItemNovelty<U,I> novelty,
           RelevanceModel<U,I> relevanceModel,
           RankingDiscountModel disc)

Constructor.

Parameters:

cutoff - maximum size of the recommendation list that is evaluated

novelty - novelty model

relevanceModel - relevance model

disc - ranking discount model

Method Detail

evaluate

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

Returns a score for the recommendation list.

Specified by:

evaluate in interface RecommendationMetric<U,I>

Overrides:

evaluate in class ItemNoveltyMetric<U,I>

Parameters:

recommendation - recommendation list

Returns:

score of the metric to the recommendation