[SPARK-2768] Add product, user recommend method to MatrixFactorizationModel - ASF JIRA

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Details

Type: Improvement
Status: Resolved
Priority: Minor
Resolution: Fixed
Affects Version/s: 1.0.1
Fix Version/s: 1.1.0
Component/s: MLlib
Labels:
None

Target Version/s:

1.1.0

Description

Right now, MatrixFactorizationModel can only predict a score for one or more (user,product) tuples. As a comment in the file notes, it would be more useful to expose a recommend method, that computes top N scoring products for a user (or vice versa – users for a product).