U
- type of the usersI
- type of the itemsF
- type of the featurespublic class XQuAD<U,I,F> extends AlphaXQuAD<U,I,F>
AlphaXQuAD.UserAlphaXQuAD
LambdaReranker.LambdaUserReranker
GreedyReranker.GreedyUserReranker<U,I>
aspectModel
lambda
cutoff
Constructor and Description |
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XQuAD(AspectModel<U,I,F> aspectModel,
double lambda,
int cutoff,
boolean norm)
Constructor.
|
getUserReranker
rerankPermutation
getBasePerm, permuteRecommendation, rerankRecommendation
public XQuAD(AspectModel<U,I,F> aspectModel, double lambda, int cutoff, boolean norm)
aspectModel
- intent-aware modellambda
- trade-off between novelty and relevancecutoff
- number of items to be greedily selectednorm
- normalize the linear combination between relevance and
noveltyCopyright © 2016. All rights reserved.