Type Parameters:
U - type of the users
All Implemented Interfaces:
GlobalReranker<U,​U>

public class InterCommunityEdgeGiniComplement<U>
extends InterCommunityReranker<U>
Implementation of a global reranking strategy for balancing the distribution of edges between pairs of communities. It only considers links between communities.
  • Field Summary

    Fields 
    Modifier and Type Field Description
    private java.util.List<java.lang.Double> matrix
    A matrix representing the number of edges between each pair of communities.
    private double sum
    The total number of edges between communities.

    Fields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.communities.InterCommunityReranker

    communities, communityGraph, graph

    Fields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingLambdaReranker

    lambda, novStats, recStats

    Fields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingGreedyReranker

    cutOff
  • Constructor Summary

    Constructors 
    Constructor Description
    InterCommunityEdgeGiniComplement​(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, Communities<U> communities)
    Constructor.
  • Method Summary

    Modifier and Type Method Description
    protected double nov​(U user, org.ranksys.core.util.tuples.Tuple2od<U> item)
    Finds the novelty score for a user-item pair.
    protected void update​(U user, org.ranksys.core.util.tuples.Tuple2od<U> selectedItem)
    Updates the value of the objective function after a selection.

    Methods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingLambdaReranker

    score, selectRecommendation

    Methods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingGreedyReranker

    rerankRecommendations

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
  • Field Details

    • matrix

      private final java.util.List<java.lang.Double> matrix
      A matrix representing the number of edges between each pair of communities.
    • sum

      private double sum
      The total number of edges between communities.
  • Constructor Details

    • InterCommunityEdgeGiniComplement

      public InterCommunityEdgeGiniComplement​(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, Communities<U> communities)
      Constructor.
      Parameters:
      lambda - trade-off between the recommendation score and the novelty/diversity value.
      cutoff - number of elements to take.
      norm - the normalization strategy.
      graph - the original graph.
      communities - the relation between users and communities.
  • Method Details

    • nov

      protected double nov​(U user, org.ranksys.core.util.tuples.Tuple2od<U> item)
      Description copied from class: GlobalRankingLambdaReranker
      Finds the novelty score for a user-item pair.
      Specified by:
      nov in class GlobalRankingLambdaReranker<U,​U>
      Parameters:
      user - the target user.
      item - the candidate item (with its score).
      Returns:
      the novelty value for the item.
    • update

      protected void update​(U user, org.ranksys.core.util.tuples.Tuple2od<U> selectedItem)
      Description copied from class: GlobalRankingGreedyReranker
      Updates the value of the objective function after a selection.
      Specified by:
      update in class GlobalRankingGreedyReranker<U,​U>
      Parameters:
      user - the selected user.
      selectedItem - the selected item and its score.