[jira] [Resolved] (SPARK-19535) ALSModel recommendAll analogs

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-19535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley resolved SPARK-19535.
---------------------------------------
       Resolution: Fixed
    Fix Version/s: 2.2.0

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

> ALSModel recommendAll analogs
> -----------------------------
>
>                 Key: SPARK-19535
>                 URL: https://issues.apache.org/jira/browse/SPARK-19535
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>    Affects Versions: 2.2.0
>            Reporter: Joseph K. Bradley
>            Assignee: Sue Ann Hong
>             Fix For: 2.2.0
>
>
> 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



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