Uses of Class
org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender

Packages that use AbstractRecommender
org.apache.mahout.cf.taste.impl.recommender   
org.apache.mahout.cf.taste.impl.recommender.knn   
org.apache.mahout.cf.taste.impl.recommender.slopeone   
org.apache.mahout.cf.taste.impl.recommender.svd   
 

Uses of AbstractRecommender in org.apache.mahout.cf.taste.impl.recommender
 

Subclasses of AbstractRecommender in org.apache.mahout.cf.taste.impl.recommender
 class GenericBooleanPrefItemBasedRecommender
          A variant on GenericItemBasedRecommender which is appropriate for use when no notion of preference value exists in the data.
 class GenericBooleanPrefUserBasedRecommender
          A variant on GenericUserBasedRecommender which is appropriate for use when no notion of preference value exists in the data.
 class GenericItemBasedRecommender
           A simple Recommender which uses a given DataModel and ItemSimilarity to produce recommendations.
 class GenericUserBasedRecommender
           A simple Recommender which uses a given DataModel and UserNeighborhood to produce recommendations.
 class ItemAverageRecommender
           A simple recommender that always estimates preference for an item to be the average of all known preference values for that item.
 class ItemUserAverageRecommender
           Like ItemAverageRecommender, except that estimated preferences are adjusted for the users' average preference value.
 class RandomRecommender
          Produces random recommendations and preference estimates.
 class TreeClusteringRecommender
           A Recommender that clusters users, then determines the clusters' top recommendations.
 class TreeClusteringRecommender2
           A Recommender that clusters users, then determines the clusters' top recommendations.
 

Uses of AbstractRecommender in org.apache.mahout.cf.taste.impl.recommender.knn
 

Subclasses of AbstractRecommender in org.apache.mahout.cf.taste.impl.recommender.knn
 class KnnItemBasedRecommender
           The weights to compute the final predicted preferences are calculated using linear interpolation, through an Optimizer.
 

Uses of AbstractRecommender in org.apache.mahout.cf.taste.impl.recommender.slopeone
 

Subclasses of AbstractRecommender in org.apache.mahout.cf.taste.impl.recommender.slopeone
 class SlopeOneRecommender
           A basic "slope one" recommender.
 

Uses of AbstractRecommender in org.apache.mahout.cf.taste.impl.recommender.svd
 

Subclasses of AbstractRecommender in org.apache.mahout.cf.taste.impl.recommender.svd
 class SVDRecommender
          A Recommender that uses matrix factorization (a projection of users and items onto a feature space)
 



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