org.ranksys.diversity.prop.reranking

Class PM<U,I,F>

java.lang.Object

es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker<U,I>

es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker<U,I>

org.ranksys.diversity.prop.reranking.PM<U,I,F>

Type Parameters:

U - type of user

I - type of item

F - type of feature

All Implemented Interfaces:

Reranker<U,I>

public class PM<U,I,F>
extends GreedyReranker<U,I>

Proportionality re-ranking method.
Dang, V., Croft, W. B. (2012). Diversity by Proportionality: An Election-based Approach to Search Result Diversification. In Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 65–74). New York, NY, USA: ACM. doi:10.1145/2348283.2348296

Author:

Saúl Vargas (Saul.Vargas@mendeley.com)

Nested Class Summary

Nested classes/interfaces inherited from class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker

GreedyReranker.GreedyUserReranker<U,I>

Field Summary

Fields inherited from class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker

cutoff

Constructor Summary

Constructors

Constructor and Description
PM(FeatureData<I,F,?> featureData, BinomialModel<U,I,F> binomialModel, double lambda, int cutoff) Constructor.

Method Summary

Modifier and Type	Method and Description
protected GreedyReranker.GreedyUserReranker<U,I>	getUserReranker(Recommendation<U,I> recommendation, int maxLength) Returns an instance of GreedyReranker.GreedyUserReranker that does the greedy selection.

Methods inherited from class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker

rerankPermutation

Methods inherited from class es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker

getBasePerm, permuteRecommendation, rerankRecommendation

Methods inherited from class java.lang.Object

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

Constructor Detail

PM

public PM(FeatureData<I,F,?> featureData,
          BinomialModel<U,I,F> binomialModel,
          double lambda,
          int cutoff)

Constructor.

Parameters:

binomialModel - binomial model for features

featureData - feature data

lambda - relevance-diversity tradeoff

cutoff - metric cutoff

Method Detail

getUserReranker

protected GreedyReranker.GreedyUserReranker<U,I> getUserReranker(Recommendation<U,I> recommendation,
                                                                 int maxLength)

Description copied from class: GreedyReranker

Returns an instance of GreedyReranker.GreedyUserReranker that does the greedy selection.

Specified by:

getUserReranker in class GreedyReranker<U,I>

Parameters:

recommendation - input recommendation to be re-ranked

maxLength - maximum length of the resulting re-ranked recommendation

Returns:

the GreedyReranker.GreedyUserReranker that does the re-ranking