C D E F G I J L M N O P R S U V

C

CosineFeatureItemDistanceModel<I,F> - Class in es.uam.eps.ir.ranksys.novdiv.distance

Vector cosine item distance model.

CosineFeatureItemDistanceModel(FeatureData<I, F, Double>) - Constructor for class es.uam.eps.ir.ranksys.novdiv.distance.CosineFeatureItemDistanceModel

Constructor.

cutoff - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker

Cut-off of the re-ranking.

D

dist(double, double, double) - Method in class es.uam.eps.ir.ranksys.novdiv.distance.CosineFeatureItemDistanceModel

dist(I) - Method in class es.uam.eps.ir.ranksys.novdiv.distance.FeatureItemDistanceModel

Returns a function that return the distance to the input item.

dist(Stream<Tuple2<F, V>>) - Method in class es.uam.eps.ir.ranksys.novdiv.distance.FeatureItemDistanceModel

Returns a function that returns the feature-based similarity to the features of an item.

dist(I) - Method in interface es.uam.eps.ir.ranksys.novdiv.distance.ItemDistanceModel

Returns a function that return the distance to the input item.

dist(I, I) - Method in interface es.uam.eps.ir.ranksys.novdiv.distance.ItemDistanceModel

Returns the distance between a pair of items.

dist(double, double, double) - Method in class es.uam.eps.ir.ranksys.novdiv.distance.JaccardFeatureItemDistanceModel

dist(Stream<Tuple2<F, Double>>) - Method in class es.uam.eps.ir.ranksys.novdiv.distance.VectorFeatureItemDistanceModel

Returns a function that returns the feature-based similarity to the features of an item.

dist(double, double, double) - Method in class es.uam.eps.ir.ranksys.novdiv.distance.VectorFeatureItemDistanceModel

Distance as a function of the inner product between feature vectors and the square of the norms of these vectors.

DitheringReranker<U,I> - Class in org.ranksys.novdiv.reranking

Dithering re-ranker.

DitheringReranker(double) - Constructor for class org.ranksys.novdiv.reranking.DitheringReranker

Constructor.

E

es.uam.eps.ir.ranksys.novdiv.distance - package es.uam.eps.ir.ranksys.novdiv.distance

Item distance models.

es.uam.eps.ir.ranksys.novdiv.itemnovelty - package es.uam.eps.ir.ranksys.novdiv.itemnovelty

Item novelty models.

es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics - package es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics

Item novelty metrics.

es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking - package es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking

Item novelty re-rankers.

es.uam.eps.ir.ranksys.novdiv.reranking - package es.uam.eps.ir.ranksys.novdiv.reranking

Re-rankers.

evaluate(Recommendation<U, I>) - Method in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics.ItemNoveltyMetric

Returns a score for the recommendation list.

F

FeatureItemDistanceModel<I,F,V> - Class in es.uam.eps.ir.ranksys.novdiv.distance

Feature-based item distance model.

FeatureItemDistanceModel(FeatureData<I, F, V>) - Constructor for class es.uam.eps.ir.ranksys.novdiv.distance.FeatureItemDistanceModel

Constructor.

G

get(U) - Method in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.ItemNovelty

getBasePerm(int) - Static method in class es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker

Returns a null permutation, that is, an array with values 0..(N-1).

getModel(U) - Method in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.ItemNovelty

getRecommendation(U, int, Predicate<I>) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.RerankingRecommender

getRecommendation(int, int, IntPredicate) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.RerankingRecommender

getUserReranker(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker

Returns an instance of GreedyReranker.GreedyUserReranker that does the greedy selection.

getUserReranker(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker

GreedyReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking

Greedy re-ranking.

GreedyReranker(int) - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker

Constructor.

GreedyReranker.GreedyUserReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking

Re-ranker of a single recommendation.

GreedyUserReranker(Recommendation<U, I>, int) - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker

Constructor

I

ItemDistanceModel<I> - Interface in es.uam.eps.ir.ranksys.novdiv.distance

Item distance model.

ItemNovelty<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.itemnovelty

Item novelty model.

ItemNovelty(boolean, Stream<U>) - Constructor for class es.uam.eps.ir.ranksys.novdiv.itemnovelty.ItemNovelty

Constructor.

ItemNovelty() - Constructor for class es.uam.eps.ir.ranksys.novdiv.itemnovelty.ItemNovelty

Constructor in which no caching is done.

ItemNovelty(Stream<U>) - Constructor for class es.uam.eps.ir.ranksys.novdiv.itemnovelty.ItemNovelty

Constructor in which caching is done.

ItemNovelty.UserItemNoveltyModel<U,I> - Interface in es.uam.eps.ir.ranksys.novdiv.itemnovelty

Item novelty model for a user.

ItemNoveltyMetric<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics

Item novelty metric.

ItemNoveltyMetric(int, ItemNovelty<U, I>, RelevanceModel<U, I>, RankingDiscountModel) - Constructor for class es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics.ItemNoveltyMetric

Constructor.

ItemNoveltyReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking

Item Novelty re-ranker.

ItemNoveltyReranker(double, ItemNovelty<U, I>, boolean) - Constructor for class es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking.ItemNoveltyReranker

Constructor.

J

JaccardFeatureItemDistanceModel<I,F> - Class in es.uam.eps.ir.ranksys.novdiv.distance

Vector Jaccard item distance model.

JaccardFeatureItemDistanceModel(FeatureData<I, F, Double>) - Constructor for class es.uam.eps.ir.ranksys.novdiv.distance.JaccardFeatureItemDistanceModel

Constructor.

L

lambda - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker

Trade-off parameter of the linear combination.

LambdaReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking

Linear combination re-ranker that combines the original score of the input recommendation and a novelty component.

LambdaReranker(double, int, boolean) - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker

Constructor.

LambdaReranker.LambdaUserReranker - Class in es.uam.eps.ir.ranksys.novdiv.reranking

User re-ranker for LambdaReranker.

LambdaUserReranker(Recommendation<U, I>, int) - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker

Constructor.

M

maxLength - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker

maximum length of the re-ranked recommendation

N

norm(double, Stats) - Method in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking.ItemNoveltyReranker

Returns the normalized value of a relevance or novelty score.

norm(double, Stats) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker

Returns the normalized value of a relevance or novelty score.

nov(Tuple2od<I>) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker

Returns the novelty score of an item.

novelty(I) - Method in interface es.uam.eps.ir.ranksys.novdiv.itemnovelty.ItemNovelty.UserItemNoveltyModel

Returns the novelty of an item

novelty - Variable in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.metrics.ItemNoveltyMetric

item novelty model

novMap - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker

Map of the novelty of each item.

novStats - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker

Statistics about novelty scores.

NullReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking

Null re-ranker that does not perform an actual re-ranking.

NullReranker() - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.NullReranker

O

org.ranksys.novdiv.reranking - package org.ranksys.novdiv.reranking

Re-rankers.

P

PermutationReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking

Abstract re-ranker whose output is a permutation of the input recommendation.

PermutationReranker() - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker

permuteRecommendation(Recommendation<U, I>, int[]) - Static method in class es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker

Applies a permutation to re-rank a recommendation.

R

RandomReranker<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking

Re-ranker that applies a random permutation.

RandomReranker() - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.RandomReranker

recommendation - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker

input recommendation

relStats - Variable in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker

Statistics about relevance scores.

Reranker<U,I> - Interface in es.uam.eps.ir.ranksys.novdiv.reranking

Re-ranker.

RerankingRecommender<U,I> - Class in es.uam.eps.ir.ranksys.novdiv.reranking

Wrapper for re-ranker that re-ranks the output of another recommender.

RerankingRecommender(FastUserIndex<U>, FastItemIndex<I>, FastRecommender<U, I>, Reranker<U, I>) - Constructor for class es.uam.eps.ir.ranksys.novdiv.reranking.RerankingRecommender

Constructor.

rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking.ItemNoveltyReranker

rerankPermutation() - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker

Returns the permutation to obtain the re-ranking

rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker

Returns the permutation that is applied to the input recommendation to generate the re-ranked recommendation.

rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker

Returns the permutation that is applied to the input recommendation to generate the re-ranked recommendation.

rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.NullReranker

Returns the permutation that is applied to the input recommendation to generate the re-ranked recommendation.

rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker

Returns the permutation that is applied to the input recommendation to generate the re-ranked recommendation.

rerankPermutation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.RandomReranker

Returns the permutation that is applied to the input recommendation to generate the re-ranked recommendation.

rerankPermutation(Recommendation<U, I>, int) - Method in class org.ranksys.novdiv.reranking.DitheringReranker

rerankRecommendation(Recommendation<U, I>, int) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.PermutationReranker

rerankRecommendation(Recommendation<U, I>, int) - Method in interface es.uam.eps.ir.ranksys.novdiv.reranking.Reranker

Re-ranks a recommendation.

S

selectItem(IntSortedSet, List<Tuple2od<I>>) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker

Selects the next element of the permutation that maximizes the objective function.

selectItem(IntSortedSet, List<Tuple2od<I>>) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker

U

update(Tuple2od<I>) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker

Updates the value of the objective function after a selection.

V

value(Tuple2od<I>, Stats, Object2DoubleMap<I>, Stats) - Method in class es.uam.eps.ir.ranksys.novdiv.itemnovelty.reranking.ItemNoveltyReranker

Re-scored value to determine the re-ranking.

value(Tuple2od<I>) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.GreedyReranker.GreedyUserReranker

Objective function that drives the greedy selection.

value(Tuple2od<I>) - Method in class es.uam.eps.ir.ranksys.novdiv.reranking.LambdaReranker.LambdaUserReranker

VectorFeatureItemDistanceModel<I,F> - Class in es.uam.eps.ir.ranksys.novdiv.distance

Feature-based item distance model that considers the features of items as vectors.

VectorFeatureItemDistanceModel(FeatureData<I, F, Double>) - Constructor for class es.uam.eps.ir.ranksys.novdiv.distance.VectorFeatureItemDistanceModel

Constructor.

C D E F G I J L M N O P R S U V