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

Class EPC<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.longtail.metrics.EPC<U,I>

Type Parameters:

U - type of the users

I - type of the items

All Implemented Interfaces:

RecommendationMetric<U,I>

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

Expected popularity complement metric. S. Vargas. Novelty and diversity evaluation and enhancement in Recommender Systems. PhD Thesis. S. Vargas and P. Castells. Rank and relevance in novelty and diversity for Recommender Systems. RecSys 2011.

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
EPC(int cutoff, PCItemNovelty<U,I> novelty, RelevanceModel<U,I> relModel, RankingDiscountModel disc) Constructor.

Method Summary

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

evaluate

Methods inherited from class java.lang.Object

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

Constructor Detail

EPC

public EPC(int cutoff,
           PCItemNovelty<U,I> novelty,
           RelevanceModel<U,I> relModel,
           RankingDiscountModel disc)

Constructor.

Parameters:

cutoff - maximum size of the recommendation list that is evaluated

novelty - novelty model

relModel - relevance model

disc - ranking discount model