[ https://issues.apache.org/jira/browse/SPARK-33518?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-33518: ------------------------------------ Assignee: Apache Spark > 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 > Assignee: Apache Spark > 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; > -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org