## 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.svd
org.apache.mahout.cf.taste.recommender
org.apache.mahout.cf.taste.similarity.precompute

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

Classes in org.apache.mahout.cf.taste.hadoop that implement RecommendedItem
`class` `MutableRecommendedItem` Mutable variant of `RecommendedItem`

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

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>` `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.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.

Uses of RecommendedItem in org.apache.mahout.cf.taste.similarity.precompute

Constructor parameters in org.apache.mahout.cf.taste.similarity.precompute with type arguments of type RecommendedItem
`SimilarItems(long itemID, List<RecommendedItem> similarItems)`

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