Package es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.graph

Class ClusteringCoefficientComplement<U>

java.lang.Object
es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingGreedyReranker<U,​I>
es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingLambdaReranker<U,​U>
es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.graph.ClusteringCoefficientComplement<U>
Type Parameters:
U - type of the users.
All Implemented Interfaces:
GlobalReranker<U,​U>
public class ClusteringCoefficientComplement<U>
extends GlobalRankingLambdaReranker<U,​U>
Global reranker strategy that optimizes the clustering coefficient complement of the network.

  • Field Summary

    Fields 
    Modifier and Type Field Description
    private Graph<U> graph
    The graph.
    private double triangles
    The number of triangles in the network.
    private double triplets
    The number of triplets in the network.

    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
    ClusteringCoefficientComplement​(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph)
    Constructor.

  • Method Summary

    Modifier and Type Method Description
    protected double nov​(U user, org.ranksys.core.util.tuples.Tuple2od<U> tpld)
    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

    • graph

      private final Graph<U> graph
      The graph.

    • triplets

      private double triplets
      The number of triplets in the network.

    • triangles

      private double triangles
      The number of triangles in the network.

  • Constructor Details

    • ClusteringCoefficientComplement

      public ClusteringCoefficientComplement​(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph)
      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.

  • Method Details

    • nov

      protected double nov​(U user, org.ranksys.core.util.tuples.Tuple2od<U> tpld)
      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.
      tpld - 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.