Package es.uam.eps.ir.relison.links.recommendation.reranking.local.user

Class ProgressiveInverseUserMetricReranker<U>

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.relison.links.recommendation.reranking.local.LambdaReranker<U,​U>
es.uam.eps.ir.relison.links.recommendation.reranking.local.user.UserMetricReranker<U>
es.uam.eps.ir.relison.links.recommendation.reranking.local.user.ProgressiveInverseUserMetricReranker<U>
Type Parameters:
U - type of the users.
All Implemented Interfaces:
es.uam.eps.ir.ranksys.novdiv.reranking.Reranker<U,​U>
public class ProgressiveInverseUserMetricReranker<U>
extends UserMetricReranker<U>
Implementation of a reranking strategy for contact recommendation that demotes the average value of some vertex metric in the resulting network. Individually reranks each recommendation.

  • Nested Class Summary

    Nested Classes 
    Modifier and Type Class Description
    protected class  ProgressiveInverseUserMetricReranker.ProgressiveInverseUserMetricUserReranker
    The class for generating the reranking.

    Nested classes/interfaces inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.local.user.UserMetricReranker

    UserMetricReranker.UserMetricUserReranker

    Nested classes/interfaces inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker

    LambdaReranker.LambdaUserReranker

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

    es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker<U extends java.lang.Object,​I extends java.lang.Object>

  • Field Summary

    Fields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.local.user.UserMetricReranker

    graph, metric

    Fields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.local.LambdaReranker

    lambda

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

    cutoff

  • Constructor Summary

    Constructors 
    Constructor Description
    ProgressiveInverseUserMetricReranker​(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, VertexMetric<U> metric)
    Constructor.

  • Method Summary

    Modifier and Type Method Description
    protected es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker<U,​U> getUserReranker​(es.uam.eps.ir.ranksys.core.Recommendation<U,​U> recommendation, int maxLength)  

    Methods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.local.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

  • Constructor Details

    • ProgressiveInverseUserMetricReranker

      public ProgressiveInverseUserMetricReranker​(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, VertexMetric<U> metric)
      Constructor.
      Parameters:
      lambda - trade-off between the original recommendation score and the metric we want to promote.
      cutoff - the size of the recommendation ranking.
      norm - the normalization approach.
      graph - the graph we want to use.
      metric - the vertex metric to demote.

  • Method Details

    • getUserReranker

      protected es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker<U,​U> getUserReranker​(es.uam.eps.ir.ranksys.core.Recommendation<U,​U> recommendation, int maxLength)
      Specified by:
      getUserReranker in class LambdaReranker<U,​U>