Class GraphMetricReranker<U>
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.graph.GraphMetricReranker<U>
- Type Parameters:
U- type of the users.
- All Implemented Interfaces:
GlobalReranker<U,U>
- Direct Known Subclasses:
DirectGraphMetricReranker,InverseGraphMetricReranker
public abstract class GraphMetricReranker<U> extends GlobalRankingLambdaReranker<U,U>
Global reranker strategy that reorders the candidate users according to
a graph metric.
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Field Summary
Fields Modifier and Type Field Description protected Graph<U>graphThe graph.protected GraphMetric<U>metricThe selected metricFields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingLambdaReranker
lambda, novStats, recStatsFields inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingGreedyReranker
cutOff -
Constructor Summary
Constructors Constructor Description GraphMetricReranker(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, GraphMetric<U> metric)Constructor. -
Method Summary
Methods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingLambdaReranker
nov, score, selectRecommendationMethods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.GlobalRankingGreedyReranker
rerankRecommendations
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Field Details
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Constructor Details
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GraphMetricReranker
public GraphMetricReranker(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, GraphMetric<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.
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Method Details
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update
Description copied from class:GlobalRankingGreedyRerankerUpdates the value of the objective function after a selection.- Specified by:
updatein classGlobalRankingGreedyReranker<U,U>- Parameters:
user- the selected user.bestItemValue- the selected item and its score.
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