Class PersonalizedSALSA<U>
java.lang.Object
es.uam.eps.ir.ranksys.rec.AbstractRecommender<U,I>
es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender<U,I>
es.uam.eps.ir.ranksys.rec.fast.FastRankingRecommender<U,U>
es.uam.eps.ir.relison.links.recommendation.UserFastRankingRecommender<U>
es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite.BipartiteRecommender<U>
es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PersonalizedSALSA<U>
- Type Parameters:
U- Type of the users
- All Implemented Interfaces:
es.uam.eps.ir.ranksys.core.index.ItemIndex<U>,es.uam.eps.ir.ranksys.core.index.UserIndex<U>,es.uam.eps.ir.ranksys.fast.index.FastItemIndex<U>,es.uam.eps.ir.ranksys.fast.index.FastUserIndex<U>,es.uam.eps.ir.ranksys.rec.fast.FastRecommender<U,U>,es.uam.eps.ir.ranksys.rec.Recommender<U,U>
public class PersonalizedSALSA<U> extends BipartiteRecommender<U>
General personalized SALSA recommender.
Reference: A. Goel, P. Gupta, J. Sirois, D. Wang, A. Sharma, S. Gurumurthy. The who-to-follow system at Twitter: Strategy, algorithms and revenue impact. Interfaces 45(1), 98-107 (2015)
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Field Summary
Fields Modifier and Type Field Description private doublealphaTeleport rate.private static doubleTHRESHOLDConvergence threshold.Fields inherited from class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.bipartite.BipartiteRecommender
authorities, bipartiteGraph, hubs, modeFields inherited from class es.uam.eps.ir.relison.links.recommendation.UserFastRankingRecommender
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Constructor Summary
Constructors Constructor Description PersonalizedSALSA(FastGraph<U> graph, boolean mode, double alpha)Constructor. -
Method Summary
Modifier and Type Method Description it.unimi.dsi.fastutil.ints.Int2DoubleMapgetScoresMap(int i)Methods inherited from class es.uam.eps.ir.relison.links.recommendation.UserFastRankingRecommender
getFreq, getFreq, getGraphMethods inherited from class es.uam.eps.ir.ranksys.rec.fast.FastRankingRecommender
getRecommendationMethods inherited from class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender
getRecommendation, getRecommendation, getRecommendation, getRecommendation, getRecommendation, getRecommendation, getRecommendation, iidx2item, item2iidx, numItems, numUsers, uidx2user, user2uidxMethods inherited from class es.uam.eps.ir.ranksys.rec.AbstractRecommender
getRecommendation, getRecommendationMethods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitMethods inherited from interface es.uam.eps.ir.ranksys.fast.index.FastItemIndex
containsItem, getAllIidx, getAllItems, iidx2item, iidx2item, item2iidx, item2iidx
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Field Details
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alpha
private final double alphaTeleport rate. -
THRESHOLD
private static final double THRESHOLDConvergence threshold.- See Also:
- Constant Field Values
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Constructor Details
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PersonalizedSALSA
Constructor.- Parameters:
graph- user graph.mode- true if the recommendation scores are the authorities scores, false if the recommendation scores are the hubs scores.alpha- teleport probability.
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Method Details
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getScoresMap
public it.unimi.dsi.fastutil.ints.Int2DoubleMap getScoresMap(int i)
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