[jira] [Commented] (SPARK-33518) Improve performance of ML ALS recommendForAll by GEMV
[
https://issues.apache.org/jira/browse/SPARK-33518?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17269177#comment-17269177
]
Apache Spark commented on SPARK-33518:
--
User 'zhengruifeng' has created a pull request for this issue:
https://github.com/apache/spark/pull/31279
> 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: 3.1.0
>Reporter: zhengruifeng
>Assignee: zhengruifeng
>Priority: Major
> Fix For: 3.2.0
>
>
> 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, use guava.ordering instead of BoundedPriorityQueue;
>
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[jira] [Commented] (SPARK-33518) Improve performance of ML ALS recommendForAll by GEMV
[
https://issues.apache.org/jira/browse/SPARK-33518?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17269176#comment-17269176
]
Apache Spark commented on SPARK-33518:
--
User 'zhengruifeng' has created a pull request for this issue:
https://github.com/apache/spark/pull/31279
> 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: 3.1.0
>Reporter: zhengruifeng
>Assignee: zhengruifeng
>Priority: Major
> Fix For: 3.2.0
>
>
> 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, use guava.ordering instead of BoundedPriorityQueue;
>
--
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[jira] [Commented] (SPARK-33518) Improve performance of ML ALS recommendForAll by GEMV
[
https://issues.apache.org/jira/browse/SPARK-33518?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17237280#comment-17237280
]
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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[jira] [Commented] (SPARK-33518) Improve performance of ML ALS recommendForAll by GEMV
[
https://issues.apache.org/jira/browse/SPARK-33518?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=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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