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| Class Summary | |
|---|---|
| AggregateAndRecommendReducer | computes prediction values for each user |
| 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 | |
|---|---|
| ToUserVectorsReducer.Counters | |
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