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

Class EdgeMetricReranker<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.edge.EdgeMetricReranker<U>
Type Parameters:
U - Type of the users
All Implemented Interfaces:
es.uam.eps.ir.ranksys.novdiv.reranking.Reranker<U,​U>
Direct Known Subclasses:
OriginalDirectEdgeMetricReranker, OriginalInverseEdgeMetricReranker, ProgressiveDirectEdgeMetricReranker, ProgressiveInverseEdgeMetricReranker
public abstract class EdgeMetricReranker<U>
extends LambdaReranker<U,​U>
Abstract implementation of a reranking algorithm that modifies the ranking according to the values of an edge metric. Individually reranks each recommendation.

  • Nested Class Summary

    Nested Classes 
    Modifier and Type Class Description
    protected class  EdgeMetricReranker.GraphMetricEdgeReranker
    Class that reranks an individual recommendation using edge metrics.

    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 PairMetric<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
    EdgeMetricReranker​(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, PairMetric<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

    • EdgeMetricReranker

      public EdgeMetricReranker​(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 to optimize.