Class Unexpectedness<U,I>
java.lang.Object
es.uam.eps.ir.ranksys.metrics.AbstractSystemMetric<U,I>
es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.ItemNoveltyMetric<U,I>
es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.Unexpectedness<U,I>
- Type Parameters:
- U- type of the users.
- I- type of the items.
- All Implemented Interfaces:
- es.uam.eps.ir.ranksys.metrics.SystemMetric<U,I>
public class Unexpectedness<U,I> extends ItemNoveltyMetric<U,I>
Global version of the unexpectedness (expected profile distance).
 
References:
References:
- S. Vargas. Novelty and diversity evaluation and enhancement in Recommender Systems. PhD Thesis (2015)
- S. Vargas and P. Castells. Rank and relevance in novelty and diversity for * Recommender Systems. RecSys 2011.
- J. Sanz-Cruzado and P. Castells. Beyond Accuracy in Link Prediction. SoMePeaS 2019.
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Field SummaryFields inherited from class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.ItemNoveltyMetricnovelty
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Constructor SummaryConstructors Constructor Description Unexpectedness(int cutoff, es.uam.eps.ir.ranksys.novelty.unexp.PDItemNovelty<U,I> distModel)Constructor.
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Method SummaryMethods inherited from class es.uam.eps.ir.relison.links.recommendation.metrics.novdiv.ItemNoveltyMetricadd, combine, evaluate, reset
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Constructor Details- 
Unexpectednesspublic Unexpectedness(int cutoff, es.uam.eps.ir.ranksys.novelty.unexp.PDItemNovelty<U,I> distModel)Constructor.- Parameters:
- cutoff- maximum length of recommendation lists to evaluate
- distModel- item distance model
 
 
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