Package org.apache.mahout.cf.taste.hadoop.item

Class Summary

Class	Description
AggregateAndRecommendReducer	computes prediction values for each user
IDReader	Reads user ids and item ids from files specified in usersFile, itemsFile or userItemFile options in item-based recommender.
ItemFilterAsVectorAndPrefsReducer	we use a neat little trick to explicitly filter items for some users: we inject a NaN summand into the preference estimation for those items, which makes AggregateAndRecommendReducer automatically exclude them
ItemFilterMapper	map out all user/item pairs to filter, keyed by the itemID
ItemIDIndexMapper
ItemIDIndexReducer
PartialMultiplyMapper	maps similar items and their preference values per user
PrefAndSimilarityColumnWritable
RecommenderJob	Runs a completely distributed recommender job as a series of mapreduces.
SimilarityMatrixRowWrapperMapper	maps a row of the similarity matrix to a VectorOrPrefWritable actually a column from that matrix has to be used but as the similarity matrix is symmetric, we can use a row instead of having to transpose it
ToUserVectorsReducer	Input
ToVectorAndPrefReducer
UserVectorSplitterMapper
VectorAndPrefsWritable
VectorOrPrefWritable

Enum Summary

Enum	Description
ToUserVectorsReducer.Counters