U
- type of the usersI
- type of the itemsF
- type of the featurespublic class BinomialCoverageReranker<U,I,F> extends LambdaReranker<U,I>
Modifier and Type | Class and Description |
---|---|
class |
BinomialCoverageReranker.BinomialCoverageUserReranker
User re-ranker for
BinomialCoverageReranker . |
LambdaReranker.LambdaUserReranker
GreedyReranker.GreedyUserReranker<U,I>
lambda
cutoff
Constructor and Description |
---|
BinomialCoverageReranker(FeatureData<I,F,?> featureData,
BinomialModel<U,I,F> binomialModel,
double lambda,
int cutoff)
Constructor.
|
Modifier and Type | Method and Description |
---|---|
protected BinomialCoverageReranker.BinomialCoverageUserReranker |
getUserReranker(Recommendation<U,I> recommendation,
int maxLength)
Returns an instance of
GreedyReranker.GreedyUserReranker that does the greedy
selection. |
rerankPermutation
getBasePerm, permuteRecommendation, rerankRecommendation
public BinomialCoverageReranker(FeatureData<I,F,?> featureData, BinomialModel<U,I,F> binomialModel, double lambda, int cutoff)
featureData
- feature databinomialModel
- binomial modellambda
- trade-off between relevance and noveltycutoff
- number of items to be greedily selectedprotected BinomialCoverageReranker.BinomialCoverageUserReranker getUserReranker(Recommendation<U,I> recommendation, int maxLength)
GreedyReranker
GreedyReranker.GreedyUserReranker
that does the greedy
selection.getUserReranker
in class LambdaReranker<U,I>
recommendation
- input recommendation to be re-rankedmaxLength
- maximum length of the resulting re-ranked recommendationGreedyReranker.GreedyUserReranker
that does the re-rankingCopyright © 2016. All rights reserved.