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https://issues.apache.org/jira/browse/SPARK-10802?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15860110#comment-15860110
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Joseph K. Bradley commented on SPARK-10802:
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Linking related issue for feature parity in DataFrame-based API.


> Let ALS recommend for subset of data
> ------------------------------------
>
>                 Key: SPARK-10802
>                 URL: https://issues.apache.org/jira/browse/SPARK-10802
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>    Affects Versions: 1.5.0
>            Reporter: Tomasz Bartczak
>            Priority: Minor
>
> Currently MatrixFactorizationModel allows to get recommendations for
> - single user 
> - single product 
> - all users
> - all products
> recommendation for all users/products do a cartesian join inside.
> It would be useful in some cases to get recommendations for subset of 
> users/products by providing an RDD with which MatrixFactorizationModel could 
> do an intersection before doing a cartesian join. This would make it much 
> faster in situation where recommendations are needed only for subset of 
> users/products, and when the subset is still too large to make it feasible to 
> recommend one-by-one.



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