[jira] [Commented] (SPARK-33518) Improve performance of ML ALS recommendForAll by GEMV

["Apache Spark (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-33518?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17237279#comment-17237279 ] 

Apache Spark commented on SPARK-33518:
--------------------------------------

User 'zhengruifeng' has created a pull request for this issue:
https://github.com/apache/spark/pull/30468

> Improve performance of ML ALS recommendForAll by GEMV
> -----------------------------------------------------
>
>                 Key: SPARK-33518
>                 URL: https://issues.apache.org/jira/browse/SPARK-33518
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 3.2.0
>            Reporter: zhengruifeng
>            Priority: Major
>
> There were a lot of works on improving ALS's {{recommendForAll}}
> For now, I found that it maybe futhermore optimized by
> 1, using GEMV;
> 2, directly aggregate on topK collections (srcId, Array(dstId), Array(score)), instead of each element (srcId, (dstId, score));
> 3, use guava.ordering instead of BoundedPriorityQueue;
>  



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