org.apache.mahout.cf.taste.impl.recommender.knn
Class KnnItemBasedRecommender

java.lang.Object
  extended by org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
      extended by org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
          extended by org.apache.mahout.cf.taste.impl.recommender.knn.KnnItemBasedRecommender
All Implemented Interfaces:
Refreshable, ItemBasedRecommender, Recommender

public final class KnnItemBasedRecommender
extends GenericItemBasedRecommender

The weights to compute the final predicted preferences are calculated using linear interpolation, through an Optimizer. This algorithm is based in the paper of Robert M. Bell and Yehuda Koren in ICDM '07.


Nested Class Summary
 
Nested classes/interfaces inherited from class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
GenericItemBasedRecommender.MostSimilarEstimator
 
Constructor Summary
KnnItemBasedRecommender(DataModel dataModel, ItemSimilarity similarity, Optimizer optimizer, CandidateItemsStrategy candidateItemsStrategy, int neighborhoodSize)
           
KnnItemBasedRecommender(DataModel dataModel, ItemSimilarity similarity, Optimizer optimizer, int neighborhoodSize)
           
 
Method Summary
protected  float doEstimatePreference(long theUserID, long itemID)
           
 
Methods inherited from class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
estimatePreference, getSimilarity, mostSimilarItems, mostSimilarItems, mostSimilarItems, mostSimilarItems, recommend, recommendedBecause, refresh, toString
 
Methods inherited from class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
getAllOtherItems, getDataModel, getDefaultCandidateItemsStrategy, recommend, removePreference, setPreference
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
 
Methods inherited from interface org.apache.mahout.cf.taste.recommender.Recommender
getDataModel, recommend, removePreference, setPreference
 

Constructor Detail

KnnItemBasedRecommender

public KnnItemBasedRecommender(DataModel dataModel,
                               ItemSimilarity similarity,
                               Optimizer optimizer,
                               CandidateItemsStrategy candidateItemsStrategy,
                               int neighborhoodSize)

KnnItemBasedRecommender

public KnnItemBasedRecommender(DataModel dataModel,
                               ItemSimilarity similarity,
                               Optimizer optimizer,
                               int neighborhoodSize)
Method Detail

doEstimatePreference

protected float doEstimatePreference(long theUserID,
                                     long itemID)
                              throws TasteException
Overrides:
doEstimatePreference in class GenericItemBasedRecommender
Throws:
TasteException


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