UserMetricReranker

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.user.UserMetricReranker<U>

Type Parameters:: U - type of the users.

All Implemented Interfaces:: GlobalReranker<U,U>

Direct Known Subclasses:: OriginalDirectUserMetricReranker, OriginalInverseUserMetricReranker, ProgressiveDirectUserMetricReranker, ProgressiveInverseUserMetricReranker

public abstract class UserMetricReranker<U>
extends GlobalRankingLambdaReranker<U,U>

Global reranker strategy that reorders the candidate users according to a user metric that we want to optimize.

Field Summary

Fields

Modifier and Type Field Description

protected Graph<U> graph
The original graph.

protected VertexMetric<U> metric
The selected 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
`UserMetricReranker(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, VertexMetric<U> metric)`	Constructor.

Method Summary

Methods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingLambdaReranker
nov, score, selectRecommendation

Methods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingGreedyReranker
rerankRecommendations, update

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

Field Details
- graph
  
  protected final Graph<U> graph
  
  The original graph.
- metric
  
  protected final VertexMetric<U> metric
  
  The selected metric
Constructor Details
- UserMetricReranker
  
  public UserMetricReranker(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, VertexMetric<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.