EdgeMetricReranker

java.lang.Object

es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalReranker<U,I>

es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalGreedyReranker<U,I>

es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalLambdaReranker<U,U>

es.uam.eps.ir.relison.links.recommendation.reranking.global.local.GraphLocalReranker<U>

es.uam.eps.ir.relison.links.recommendation.reranking.global.local.edge.EdgeMetricReranker<U>

Type Parameters:: U - type of the users.

All Implemented Interfaces:: GlobalReranker<U,U>

Direct Known Subclasses:: OriginalDirectEdgeMetricReranker, OriginalInverseEdgeMetricReranker, ProgressiveDirectEdgeMetricReranker, ProgressiveInverseEdgeMetricReranker

public abstract class EdgeMetricReranker<U>
extends GraphLocalReranker<U>

Reranker strategy that optimizes the average value of an edge metric.

Field Summary

Fields

Modifier and Type Field Description

protected PairMetric<U> metric
The selected 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
`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.global.local.GraphLocalReranker
innerUpdate, update

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

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details
- metric
  
  protected final PairMetric<U> metric
  
  The selected metric.
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 we want to optimize.