Package es.uam.eps.ir.relison.links.recommendation.algorithms.supervised

Class MachineLearningWekaRecommender<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.supervised.MachineLearningWekaRecommender<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 MachineLearningWekaRecommender<U>
extends UserFastRankingRecommender<U>
Contact recommendation algorithm that uses supervised classification techniques to generate the recommendation. It uses the Weka library.

  • Field Summary

    Fields 
    Modifier and Type Field Description
    private weka.core.FastVector attributes
    The list of attributes.
    private weka.classifiers.Classifier classifier
    Weka classifier.
    private java.util.Map<Pair<U>,​java.lang.Integer> relation
    Relation between test instances and true edges
    private weka.core.Instances testSet
    Test instances: contains the instances for the links we want to recommend.

    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
    MachineLearningWekaRecommender​(FastGraph<U> graph, weka.classifiers.Classifier classifier, java.lang.String trainInstances, java.lang.String testInstances, java.lang.String featureData, org.ranksys.formats.parsing.Parser<U> parser)
    Constructor.
    MachineLearningWekaRecommender​(FastGraph<U> graph, weka.classifiers.Classifier classifier, java.lang.String trainInstances, java.lang.String testInstances, org.ranksys.formats.parsing.Parser<U> parser)
    Constructor.
    MachineLearningWekaRecommender​(FastGraph<U> graph, weka.classifiers.Classifier classifier, weka.core.Instances trainSet, weka.core.Instances testSet, java.util.Map<Pair<U>,​java.lang.Integer> relation, weka.core.FastVector attributes)
    Constructor

  • 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

    • classifier

      private final weka.classifiers.Classifier classifier
      Weka classifier.

    • testSet

      private final weka.core.Instances testSet
      Test instances: contains the instances for the links we want to recommend.

    • relation

      private final java.util.Map<Pair<U>,​java.lang.Integer> relation
      Relation between test instances and true edges

    • attributes

      private final weka.core.FastVector attributes
      The list of attributes.

  • Constructor Details

    • MachineLearningWekaRecommender

      public MachineLearningWekaRecommender​(FastGraph<U> graph, weka.classifiers.Classifier classifier, java.lang.String trainInstances, java.lang.String testInstances, java.lang.String featureData, org.ranksys.formats.parsing.Parser<U> parser)
      Constructor. Reads the instances from three Weka files: a training set, a test set and a feature data file.
      Parameters:
      graph - the training network.
      classifier - the classifier to apply.
      trainInstances - a file containing the training instances.
      testInstances - a file containing the test instances.
      featureData - a file containing the feature information.
      parser - the user parser.

    • MachineLearningWekaRecommender

      public MachineLearningWekaRecommender​(FastGraph<U> graph, weka.classifiers.Classifier classifier, java.lang.String trainInstances, java.lang.String testInstances, org.ranksys.formats.parsing.Parser<U> parser) throws java.io.IOException
      Constructor. Reads the instances from two files in the LETOR format.
      Parameters:
      graph - the training network.
      classifier - the classifier to apply.
      trainInstances - a file containing the training instances.
      testInstances - a file containing the test instances.
      parser - the user parser.
      Throws:
      java.io.IOException - if something fails while reading the files.

    • MachineLearningWekaRecommender

      public MachineLearningWekaRecommender​(FastGraph<U> graph, weka.classifiers.Classifier classifier, weka.core.Instances trainSet, weka.core.Instances testSet, java.util.Map<Pair<U>,​java.lang.Integer> relation, weka.core.FastVector attributes)
      Constructor
      Parameters:
      graph - the training graph.
      classifier - Weka classifier
      trainSet - instances in the training set
      testSet - instances in the test set.
      relation - relation between pairs of users and instances.
      attributes - list of attributes and possible values for nominal attributes.

  • 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>