es.uam.eps.ir.ranksys.novelty.inverted.br

Class BayesRuleReranker<U,I>

java.lang.Object

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

es.uam.eps.ir.ranksys.novelty.inverted.br.BayesRuleReranker<U,I>

Type Parameters:

U - type of the users

I - type of the items

All Implemented Interfaces:

Reranker<U,I>

Direct Known Subclasses:

AlphaBayesRuleReranker

public abstract class BayesRuleReranker<U,I>
extends PermutationReranker<U,I>

Bayesian probabilistic reformulation re-ranker. s(u, i) = likelihood(u | i) * prior(i) S. Vargas and P. Castells. Improving sales diversity by recommending users to items.

Author:

Saúl Vargas (saul.vargas@uam.es)

Constructor Summary

Constructors

Constructor and Description
BayesRuleReranker()

Method Summary

Modifier and Type	Method and Description
protected abstract double	likelihood(Tuple2od<I> iv) Returns the likelihood of an item: p(u | i).
protected abstract double	prior(I i) Returns the prior of an item: p(i).
int[]	rerankPermutation(Recommendation<U,I> recommendation, int maxLength) Returns the permutation that is applied to the input recommendation to generate the re-ranked recommendation.

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

BayesRuleReranker

public BayesRuleReranker()

Method Detail

rerankPermutation

public int[] rerankPermutation(Recommendation<U,I> recommendation,
                               int maxLength)

Description copied from class: PermutationReranker

Returns the permutation that is applied to the input recommendation to generate the re-ranked recommendation.

Specified by:

rerankPermutation in class PermutationReranker<U,I>

Parameters:

recommendation - input recommendation

maxLength - maximum length of the permutation

Returns:

permutation that encodes the re-ranking

likelihood

protected abstract double likelihood(Tuple2od<I> iv)

Returns the likelihood of an item: p(u | i).

Parameters:

iv - item-relevance pair

Returns:

likelihood

prior

protected abstract double prior(I i)

Returns the prior of an item: p(i).

Parameters:

i - item

Returns:

prior