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

Class ISD<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.sales.metrics.EISDC<U,I>

es.uam.eps.ir.ranksys.novelty.sales.metrics.ISD<U,I>

Type Parameters:

U - type of the users

I - type of the items

All Implemented Interfaces:

RecommendationMetric<U,I>

public class ISD<U,I>
extends EISDC<U,I>

Inter-system diversity. It is actually a relevance and rank-unaware version of EISDC. A. Bellogín, I. Cantador and P. Castells. A study of heterogeneity in recommendations for social music service. HetRec 2010.

Author:

Saúl Vargas (saul.vargas@uam.es)

Field Summary

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

novelty

Constructor Summary

Constructors

Constructor and Description
ISD(int cutoff, int nSystems, Function<U,List<List<I>>> otherUserRecommendations) 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

ISD

public ISD(int cutoff,
           int nSystems,
           Function<U,List<List<I>>> otherUserRecommendations)

Constructor.

Parameters:

cutoff - maximum size of the recommendation list that is evaluated

nSystems - number of compared systems

otherUserRecommendations - other systems recommendations