Uses of Interface
org.apache.mahout.cf.taste.recommender.RecommendedItem

Packages that use RecommendedItem
org.apache.mahout.cf.taste.hadoop   
org.apache.mahout.cf.taste.impl.recommender   
org.apache.mahout.cf.taste.impl.recommender.slopeone   
org.apache.mahout.cf.taste.impl.recommender.svd   
org.apache.mahout.cf.taste.recommender   
 

Uses of RecommendedItem in org.apache.mahout.cf.taste.hadoop
 

Methods in org.apache.mahout.cf.taste.hadoop that return types with arguments of type RecommendedItem
 List<RecommendedItem> RecommendedItemsWritable.getRecommendedItems()
           
 

Method parameters in org.apache.mahout.cf.taste.hadoop with type arguments of type RecommendedItem
 void RecommendedItemsWritable.set(List<RecommendedItem> recommended)
           
 

Constructor parameters in org.apache.mahout.cf.taste.hadoop with type arguments of type RecommendedItem
RecommendedItemsWritable(List<RecommendedItem> recommended)
           
 

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

Classes in org.apache.mahout.cf.taste.impl.recommender that implement RecommendedItem
 class GenericRecommendedItem
           A simple implementation of RecommendedItem.
 

Methods in org.apache.mahout.cf.taste.impl.recommender that return types with arguments of type RecommendedItem
static Comparator<RecommendedItem> ByValueRecommendedItemComparator.getInstance()
           
static List<RecommendedItem> TopItems.getTopItems(int howMany, LongPrimitiveIterator possibleItemIDs, IDRescorer rescorer, TopItems.Estimator<Long> estimator)
           
 List<RecommendedItem> GenericItemBasedRecommender.mostSimilarItems(long[] itemIDs, int howMany)
           
 List<RecommendedItem> GenericItemBasedRecommender.mostSimilarItems(long[] itemIDs, int howMany, boolean excludeItemIfNotSimilarToAll)
           
 List<RecommendedItem> GenericItemBasedRecommender.mostSimilarItems(long[] itemIDs, int howMany, Rescorer<LongPair> rescorer)
           
 List<RecommendedItem> GenericItemBasedRecommender.mostSimilarItems(long[] itemIDs, int howMany, Rescorer<LongPair> rescorer, boolean excludeItemIfNotSimilarToAll)
           
 List<RecommendedItem> GenericItemBasedRecommender.mostSimilarItems(long itemID, int howMany)
           
 List<RecommendedItem> GenericItemBasedRecommender.mostSimilarItems(long itemID, int howMany, Rescorer<LongPair> rescorer)
           
 List<RecommendedItem> CachingRecommender.recommend(long userID, int howMany)
           
 List<RecommendedItem> AbstractRecommender.recommend(long userID, int howMany)
           Default implementation which just calls Recommender.recommend(long, int, org.apache.mahout.cf.taste.recommender.IDRescorer), with a Rescorer that does nothing.
 List<RecommendedItem> TreeClusteringRecommender2.recommend(long userID, int howMany, IDRescorer rescorer)
           
 List<RecommendedItem> TreeClusteringRecommender.recommend(long userID, int howMany, IDRescorer rescorer)
           
 List<RecommendedItem> RandomRecommender.recommend(long userID, int howMany, IDRescorer rescorer)
           
 List<RecommendedItem> ItemUserAverageRecommender.recommend(long userID, int howMany, IDRescorer rescorer)
           
 List<RecommendedItem> ItemAverageRecommender.recommend(long userID, int howMany, IDRescorer rescorer)
           
 List<RecommendedItem> GenericUserBasedRecommender.recommend(long userID, int howMany, IDRescorer rescorer)
           
 List<RecommendedItem> GenericItemBasedRecommender.recommend(long userID, int howMany, IDRescorer rescorer)
           
 List<RecommendedItem> CachingRecommender.recommend(long userID, int howMany, IDRescorer rescorer)
           
 List<RecommendedItem> GenericItemBasedRecommender.recommendedBecause(long userID, long itemID, int howMany)
           
 

Methods in org.apache.mahout.cf.taste.impl.recommender with parameters of type RecommendedItem
 int ByValueRecommendedItemComparator.compare(RecommendedItem o1, RecommendedItem o2)
           
 

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

Methods in org.apache.mahout.cf.taste.impl.recommender.slopeone that return types with arguments of type RecommendedItem
 List<RecommendedItem> SlopeOneRecommender.recommend(long userID, int howMany, IDRescorer rescorer)
           
 

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

Methods in org.apache.mahout.cf.taste.impl.recommender.svd that return types with arguments of type RecommendedItem
 List<RecommendedItem> SVDRecommender.recommend(long userID, int howMany, IDRescorer rescorer)
           
 

Uses of RecommendedItem in org.apache.mahout.cf.taste.recommender
 

Methods in org.apache.mahout.cf.taste.recommender that return types with arguments of type RecommendedItem
 List<RecommendedItem> ItemBasedRecommender.mostSimilarItems(long[] itemIDs, int howMany)
           
 List<RecommendedItem> ItemBasedRecommender.mostSimilarItems(long[] itemIDs, int howMany, boolean excludeItemIfNotSimilarToAll)
           
 List<RecommendedItem> ItemBasedRecommender.mostSimilarItems(long[] itemIDs, int howMany, Rescorer<LongPair> rescorer)
           
 List<RecommendedItem> ItemBasedRecommender.mostSimilarItems(long[] itemIDs, int howMany, Rescorer<LongPair> rescorer, boolean excludeItemIfNotSimilarToAll)
           
 List<RecommendedItem> ItemBasedRecommender.mostSimilarItems(long itemID, int howMany)
           
 List<RecommendedItem> ItemBasedRecommender.mostSimilarItems(long itemID, int howMany, Rescorer<LongPair> rescorer)
           
 List<RecommendedItem> Recommender.recommend(long userID, int howMany)
           
 List<RecommendedItem> Recommender.recommend(long userID, int howMany, IDRescorer rescorer)
           
 List<RecommendedItem> ItemBasedRecommender.recommendedBecause(long userID, long itemID, int howMany)
           Lists the items that were most influential in recommending a given item to a given user.
 



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