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

Class UserMetricReranker<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>
Type Parameters:
U - type of the users
All Implemented Interfaces:
es.uam.eps.ir.ranksys.novdiv.reranking.Reranker<U,​U>
Direct Known Subclasses:
OriginalDirectUserMetricReranker, OriginalInverseUserMetricReranker, ProgressiveDirectUserMetricReranker, ProgressiveInverseUserMetricReranker
public abstract class UserMetricReranker<U>
extends LambdaReranker<U,​U>
Individual reranker, which reorders a recommendation according to a user metric we want to optimize.

  • Nested Class Summary

    Nested Classes 
    Modifier and Type Class Description
    protected class  UserMetricReranker.UserMetricUserReranker
    Individual user reranker that promotes

    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 
    Modifier and Type Field Description
    protected Graph<U> graph
    The graph.
    protected VertexMetric<U> metric
    The selected 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
    UserMetricReranker​(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, VertexMetric<U> metric)
    Constructor.

  • Method Summary

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

    getUserReranker, 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 Details

  • Constructor Details

    • UserMetricReranker

      public UserMetricReranker​(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, VertexMetric<U> metric)
      Constructor.
      Parameters:
      lambda - param that establishes a balance between the score and the novelty/diversity value.
      cutoff - number of elements to take.
      norm - the normalization function.
      graph - the graph.
      metric - the metric to optimize.