es.uam.eps.ir.ranksys.diversity.intentaware.reranking

Class AlphaXQuAD<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>

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

es.uam.eps.ir.ranksys.diversity.intentaware.reranking.AlphaXQuAD<U,I,F>

Type Parameters:

U - type of the users

I - type of the items

F - type of the features

All Implemented Interfaces:

Reranker<U,I>

Direct Known Subclasses:

XQuAD

public class AlphaXQuAD<U,I,F>
extends LambdaReranker<U,I>

eXplicit Query Aspect Diversification re-ranker with parametrised tolerance to redundancy. S. Vargas, P. Castells and D. Vallet. Explicit relevance models in intent-oriented Information Retrieval diversification. SIGIR 2012.

Author:

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

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
protected class	AlphaXQuAD.UserAlphaXQuAD User re-ranker for AlphaXQuAD.

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

LambdaReranker.LambdaUserReranker

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

GreedyReranker.GreedyUserReranker<U,I>

Field Summary

Fields

Modifier and Type	Field and Description
protected AspectModel<U,I,F>	aspectModel Aspect model used for diversification.

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

lambda

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

cutoff

Constructor Summary

Constructors

Constructor and Description
AlphaXQuAD(AspectModel<U,I,F> aspectModel, double alpha, double lambda, int cutoff, boolean norm) Constructor.

Method Summary

Modifier and Type	Method and Description
protected LambdaReranker.LambdaUserReranker	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.LambdaReranker

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

Field Detail

aspectModel

protected final AspectModel<U,I,F> aspectModel

Aspect model used for diversification.

Constructor Detail

AlphaXQuAD

public AlphaXQuAD(AspectModel<U,I,F> aspectModel,
                  double alpha,
                  double lambda,
                  int cutoff,
                  boolean norm)

Constructor.

Parameters:

aspectModel - intent-aware model

alpha - tolerance to redundancy parameter

lambda - trade-off between novelty and relevance

cutoff - number of items to be greedily selected

norm - normalize the linear combination between relevance and novelty

Method Detail

getUserReranker

protected LambdaReranker.LambdaUserReranker 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 LambdaReranker<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