Methods in org.apache.mahout.cf.taste.impl.recommender that return types with arguments of type RecommendedItem |
static Comparator<RecommendedItem> |
ByValueRecommendedItemComparator.getInstance()
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static List<RecommendedItem> |
TopItems.getTopItems(int howMany,
LongPrimitiveIterator possibleItemIDs,
IDRescorer rescorer,
TopItems.Estimator<Long> estimator)
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List<RecommendedItem> |
GenericItemBasedRecommender.mostSimilarItems(long[] itemIDs,
int howMany)
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List<RecommendedItem> |
GenericItemBasedRecommender.mostSimilarItems(long[] itemIDs,
int howMany,
boolean excludeItemIfNotSimilarToAll)
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List<RecommendedItem> |
GenericItemBasedRecommender.mostSimilarItems(long[] itemIDs,
int howMany,
Rescorer<LongPair> rescorer)
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List<RecommendedItem> |
GenericItemBasedRecommender.mostSimilarItems(long[] itemIDs,
int howMany,
Rescorer<LongPair> rescorer,
boolean excludeItemIfNotSimilarToAll)
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List<RecommendedItem> |
GenericItemBasedRecommender.mostSimilarItems(long itemID,
int howMany)
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List<RecommendedItem> |
GenericItemBasedRecommender.mostSimilarItems(long itemID,
int howMany,
Rescorer<LongPair> rescorer)
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List<RecommendedItem> |
CachingRecommender.recommend(long userID,
int howMany)
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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)
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List<RecommendedItem> |
ItemUserAverageRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer)
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List<RecommendedItem> |
ItemAverageRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer)
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List<RecommendedItem> |
GenericUserBasedRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer)
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List<RecommendedItem> |
GenericItemBasedRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer)
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List<RecommendedItem> |
CachingRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer)
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List<RecommendedItem> |
GenericItemBasedRecommender.recommendedBecause(long userID,
long itemID,
int howMany)
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Methods in org.apache.mahout.cf.taste.recommender that return types with arguments of type RecommendedItem |
List<RecommendedItem> |
ItemBasedRecommender.mostSimilarItems(long[] itemIDs,
int howMany)
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List<RecommendedItem> |
ItemBasedRecommender.mostSimilarItems(long[] itemIDs,
int howMany,
boolean excludeItemIfNotSimilarToAll)
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List<RecommendedItem> |
ItemBasedRecommender.mostSimilarItems(long[] itemIDs,
int howMany,
Rescorer<LongPair> rescorer)
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List<RecommendedItem> |
ItemBasedRecommender.mostSimilarItems(long[] itemIDs,
int howMany,
Rescorer<LongPair> rescorer,
boolean excludeItemIfNotSimilarToAll)
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List<RecommendedItem> |
ItemBasedRecommender.mostSimilarItems(long itemID,
int howMany)
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List<RecommendedItem> |
ItemBasedRecommender.mostSimilarItems(long itemID,
int howMany,
Rescorer<LongPair> rescorer)
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List<RecommendedItem> |
Recommender.recommend(long userID,
int howMany)
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List<RecommendedItem> |
Recommender.recommend(long userID,
int howMany,
IDRescorer rescorer)
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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. |