Modifier and Type | Class and Description |
---|---|
class |
MutableRecommendedItem
Mutable variant of
RecommendedItem |
Modifier and Type | Method and Description |
---|---|
List<RecommendedItem> |
RecommendedItemsWritable.getRecommendedItems() |
List<RecommendedItem> |
TopItemsQueue.getTopItems() |
Modifier and Type | Method and Description |
---|---|
void |
RecommendedItemsWritable.set(List<RecommendedItem> recommended) |
Constructor and Description |
---|
RecommendedItemsWritable(List<RecommendedItem> recommended) |
Modifier and Type | Class and Description |
---|---|
class |
GenericRecommendedItem
A simple implementation of
RecommendedItem . |
Modifier and Type | Method and Description |
---|---|
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> |
CachingRecommender.recommend(long userID,
int howMany,
boolean includeKnownItems) |
List<RecommendedItem> |
AbstractRecommender.recommend(long userID,
int howMany,
boolean includeKnownItems)
Default implementation which just calls
Recommender.recommend(long, int, org.apache.mahout.cf.taste.recommender.IDRescorer) , with a
Rescorer that does nothing. |
List<RecommendedItem> |
CachingRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer) |
List<RecommendedItem> |
AbstractRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer)
|
List<RecommendedItem> |
GenericUserBasedRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer,
boolean includeKnownItems) |
List<RecommendedItem> |
GenericItemBasedRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer,
boolean includeKnownItems) |
List<RecommendedItem> |
CachingRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer,
boolean includeKnownItems) |
List<RecommendedItem> |
ItemAverageRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer,
boolean includeKnownItems) |
List<RecommendedItem> |
RandomRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer,
boolean includeKnownItems) |
List<RecommendedItem> |
ItemUserAverageRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer,
boolean includeKnownItems) |
List<RecommendedItem> |
GenericItemBasedRecommender.recommendedBecause(long userID,
long itemID,
int howMany) |
Modifier and Type | Method and Description |
---|---|
int |
ByValueRecommendedItemComparator.compare(RecommendedItem o1,
RecommendedItem o2) |
Modifier and Type | Method and Description |
---|---|
List<RecommendedItem> |
SVDRecommender.recommend(long userID,
int howMany,
IDRescorer rescorer,
boolean includeKnownItems) |
Modifier and Type | Method and Description |
---|---|
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,
boolean includeKnownItems) |
List<RecommendedItem> |
Recommender.recommend(long userID,
int howMany,
IDRescorer rescorer) |
List<RecommendedItem> |
Recommender.recommend(long userID,
int howMany,
IDRescorer rescorer,
boolean includeKnownItems) |
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.
|
Constructor and Description |
---|
SimilarItems(long itemID,
List<RecommendedItem> similarItems) |
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