Package es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf

Class NonReciprocalPreferentialAttachment<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.foaf.NonReciprocalPreferentialAttachment<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 NonReciprocalPreferentialAttachment<U>
extends UserFastRankingRecommender<U>
Non Reciprocal Preferential Attachment recommender. Recommender based on the Preferential Attachment link prediction method. Instead of counting all the neighbors, we count only the non-reciprocated links. In case of undirected selection of the neighbors, we remove both from the count. When the selected neighbourhood is formed by the incoming nodes, then this method is equal to the Popularity recommender method.

Reference: Newman, M.E.J. Clustering and Preferential Attachment in Growing Networks. Physical Review Letters E, 64(025102), April 2001.

  • Field Summary

    Fields 
    Modifier and Type Field Description
    private it.unimi.dsi.fastutil.ints.Int2DoubleMap popularities
    Map for storing the popularities
    private EdgeOrientation vSel
    Link orientation for selecting the neighbours of the candidate node.

    Fields inherited from class es.uam.eps.ir.relison.links.recommendation.UserFastRankingRecommender

    graph

    Fields inherited from class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender

    iIndex, uIndex

  • Constructor Summary

    Constructors 
    Constructor Description
    NonReciprocalPreferentialAttachment​(FastGraph<U> graph, EdgeOrientation vSel)
    Constructor for recommendation mode.

  • Method Summary

    Modifier and Type Method Description
    it.unimi.dsi.fastutil.ints.Int2DoubleMap getScoresMap​(int uidx)  

    Methods inherited from class es.uam.eps.ir.relison.links.recommendation.UserFastRankingRecommender

    getFreq, getFreq, getGraph

    Methods inherited from class es.uam.eps.ir.ranksys.rec.fast.FastRankingRecommender

    getRecommendation

    Methods inherited from class es.uam.eps.ir.ranksys.rec.fast.AbstractFastRecommender

    getRecommendation, getRecommendation, getRecommendation, getRecommendation, getRecommendation, getRecommendation, getRecommendation, iidx2item, item2iidx, numItems, numUsers, uidx2user, user2uidx

    Methods inherited from class es.uam.eps.ir.ranksys.rec.AbstractRecommender

    getRecommendation, getRecommendation

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    Methods inherited from interface es.uam.eps.ir.ranksys.fast.index.FastItemIndex

    containsItem, getAllIidx, getAllItems, iidx2item, iidx2item, item2iidx, item2iidx

    Methods inherited from interface es.uam.eps.ir.ranksys.fast.index.FastUserIndex

    containsUser, getAllUidx, getAllUsers, uidx2user, uidx2user, user2uidx, user2uidx

    Methods inherited from interface es.uam.eps.ir.ranksys.rec.Recommender

    getRecommendation, getRecommendation

  • Field Details

    • vSel

      private final EdgeOrientation vSel
      Link orientation for selecting the neighbours of the candidate node.

    • popularities

      private final it.unimi.dsi.fastutil.ints.Int2DoubleMap popularities
      Map for storing the popularities

  • Constructor Details

  • Method Details

    • getScoresMap

      public it.unimi.dsi.fastutil.ints.Int2DoubleMap getScoresMap​(int uidx)
      Specified by:
      getScoresMap in class es.uam.eps.ir.ranksys.rec.fast.FastRankingRecommender<U,​U>