DirectEdgeMetricReranker

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.edge.EdgeMetricReranker<U>

es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.edge.DirectEdgeMetricReranker<U>

Type Parameters:: U - type of the users.

All Implemented Interfaces:: GlobalReranker<U,U>

public class DirectEdgeMetricReranker<U>
extends EdgeMetricReranker<U>

Global reranker strategy that optimizes the average value of an edge metric.

Field Summary

Fields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.edge.EdgeMetricReranker
graph, metric

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
`DirectEdgeMetricReranker(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 double nov(U user, org.ranksys.core.util.tuples.Tuple2od<U> iv)
Finds the novelty score for a user-item pair.

Methods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.edge.EdgeMetricReranker
update

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

Constructor Details
- DirectEdgeMetricReranker
  
  public DirectEdgeMetricReranker(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 user, org.ranksys.core.util.tuples.Tuple2od<U> iv)
  
  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.
  
  iv - the candidate item (with its score).
  
  Returns:
  
  the novelty value for the item.