Sean Owen created SPARK-2768:
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Summary: Add product, user recommend method to
MatrixFactorizationModel
Key: SPARK-2768
URL: https://issues.apache.org/jira/browse/SPARK-2768
Project: Spark
Issue Type: Improvement
Components: MLlib
Affects Versions: 1.0.1
Reporter: Sean Owen
Priority: Minor
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).
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