Details

    • Type: New Feature
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 2.2.0
    • Fix Version/s: 2.2.0
    • Component/s: ML
    • Labels:
      None
    • Target Version/s:

      Description

      Add methods analogous to the spark.mllib MatrixFactorizationModel methods recommendProductsForUsers/UsersForProducts.

      The initial implementation should be very simple, using DataFrame joins. Future work can add optimizations.

      I recommend naming them:

      • recommendForAllUsers
      • recommendForAllItems

        Issue Links

          Activity

          Hide
          josephkb Joseph K. Bradley added a comment -

          Issue resolved by pull request 17090
          https://github.com/apache/spark/pull/17090

          Show
          josephkb Joseph K. Bradley added a comment - Issue resolved by pull request 17090 https://github.com/apache/spark/pull/17090
          Hide
          apachespark Apache Spark added a comment -

          User 'sueann' has created a pull request for this issue:
          https://github.com/apache/spark/pull/17090

          Show
          apachespark Apache Spark added a comment - User 'sueann' has created a pull request for this issue: https://github.com/apache/spark/pull/17090

            People

            • Assignee:
              sueann Sue Ann Hong
              Reporter:
              josephkb Joseph K. Bradley
              Shepherd:
              Joseph K. Bradley
            • Votes:
              0 Vote for this issue
              Watchers:
              2 Start watching this issue

              Dates

              • Created:
                Updated:
                Resolved:

                Development