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    • Sub-task
    • Status: Closed
    • Major
    • Resolution: Duplicate
    • None
    • None
    • ML
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    Description

      Currently mllib.recommendation.MatrixFactorizationModel has methods recommendProducts/recommendUsers for recommending top K to a given user / item, as well as recommendProductsForUsers/recommendUsersForProducts to recommend top K across all users/items.

      Additionally, SPARK-10802 is for adding the ability to do recommendProductsForUsers for a subset of users (or vice versa).

      Look at exposing or porting (as appropriate) these methods to ALS in ML.

      Investigate if efficiency can be improved at the same time (see SPARK-11968).

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              mlnick Nicholas Pentreath
              mlnick Nicholas Pentreath
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