Class ClusteringCoefficientComplement<U>
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.graph.ClusteringCoefficientComplement<U>
- Type Parameters:
U
- type of the users.
- All Implemented Interfaces:
GlobalReranker<U,U>
public class ClusteringCoefficientComplement<U> extends GraphLocalReranker<U>
Reranker strategy that optimizes the clustering coefficient complement of
the network.
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Field Summary
Fields Modifier and Type Field Description private double
triangles
The number of closed triplets or trianglesprivate double
triplets
The number of tripletsFields 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
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Constructor Summary
Constructors Constructor Description ClusteringCoefficientComplement(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph)
Constructor. -
Method Summary
Modifier and Type Method Description protected void
innerUpdate(U user, org.ranksys.core.util.tuples.Tuple2od<U> tpld)
Updates the different parameters of the reranker, further than changing the edges in the graph.protected double
nov(U user, org.ranksys.core.util.tuples.Tuple2od<U> tpld)
Novelty score.protected void
update(es.uam.eps.ir.ranksys.core.Recommendation<U,U> reranked)
Updates the values, given a new recommendation.Methods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.GraphLocalReranker
update
Methods inherited from class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.LocalLambdaReranker
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
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Field Details
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Constructor Details
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ClusteringCoefficientComplement
public ClusteringCoefficientComplement(double lambda, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph)Constructor.- Parameters:
lambda
- trade-off between the original and novelty scorescutoff
- maximum length of the definitive ranking.norm
- the normalization strategy.graph
- the original graph.
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Method Details
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nov
Description copied from class:LocalLambdaReranker
Novelty score.- Specified by:
nov
in classLocalLambdaReranker<U,U>
- Parameters:
user
- the target user.tpld
- the recommended item and its recommendation score.- Returns:
- the novelty for this pair user-item.
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innerUpdate
Description copied from class:GraphLocalReranker
Updates the different parameters of the reranker, further than changing the edges in the graph.- Specified by:
innerUpdate
in classGraphLocalReranker<U>
- Parameters:
user
- the target user.tpld
- the new candidate user.
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update
Description copied from class:LocalReranker
Updates the values, given a new recommendation.- Specified by:
update
in classLocalReranker<U,U>
- Parameters:
reranked
- the reranked recommendation.
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