Class ProgressiveInverseEdgeMetricReranker<U>

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

public class ProgressiveInverseEdgeMetricReranker<U>
extends EdgeMetricReranker<U>
Reranker strategy that minimizes the average value of an edge metric. Metrics are updated as we add edges to the graph.
  • Field Summary

    Fields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge.EdgeMetricReranker

    metric

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

    graph

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

    novMap, novStats, relStats

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

    cutOff
  • Constructor Summary

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

    Modifier and Type Method Description
    protected void innerUpdate​(U user, org.ranksys.core.util.tuples.Tuple2od<U> bestItemValue)
    Updates the different parameters of the reranker, further than changing the edges in the graph.
    protected double nov​(U u, org.ranksys.core.util.tuples.Tuple2od<U> iv)
    Novelty score.
    protected void update​(es.uam.eps.ir.ranksys.core.Recommendation<U,​U> reranked)
    Updates the values, given a new recommendation.

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

    update

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

    rerankPermutation, selectItem, value

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

    getBasePerm, rerankRecommendation

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

    rerankRecommendations

    Methods inherited from class java.lang.Object

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

    • ProgressiveInverseEdgeMetricReranker

      public ProgressiveInverseEdgeMetricReranker​(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, PairMetric<U> metric)
      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.
      metric - the metric we want to optimize.
  • Method Details

    • nov

      protected double nov​(U u, org.ranksys.core.util.tuples.Tuple2od<U> iv)
      Description copied from class: LocalLambdaReranker
      Novelty score.
      Specified by:
      nov in class LocalLambdaReranker<U,​U>
      Parameters:
      u - the target user.
      iv - the recommended item and its recommendation score.
      Returns:
      the novelty for this pair user-item.
    • innerUpdate

      protected void innerUpdate​(U user, org.ranksys.core.util.tuples.Tuple2od<U> bestItemValue)
      Description copied from class: GraphLocalReranker
      Updates the different parameters of the reranker, further than changing the edges in the graph.
      Specified by:
      innerUpdate in class GraphLocalReranker<U>
      Parameters:
      user - the target user.
      bestItemValue - the new candidate user.
    • update

      protected void update​(es.uam.eps.ir.ranksys.core.Recommendation<U,​U> reranked)
      Description copied from class: LocalReranker
      Updates the values, given a new recommendation.
      Specified by:
      update in class LocalReranker<U,​U>
      Parameters:
      reranked - the reranked recommendation.