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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2014/07/31 12:32:38 UTC

[jira] [Created] (SPARK-2768) Add product, user recommend method to MatrixFactorizationModel

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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