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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 05:35:30 UTC

[jira] [Updated] (SPARK-6637) Test lambda weighting in implicit ALS

     [ https://issues.apache.org/jira/browse/SPARK-6637?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-6637:
--------------------------------
    Labels: bulk-closed  (was: )

> Test lambda weighting in implicit ALS
> -------------------------------------
>
>                 Key: SPARK-6637
>                 URL: https://issues.apache.org/jira/browse/SPARK-6637
>             Project: Spark
>          Issue Type: Task
>          Components: MLlib
>    Affects Versions: 1.3.0
>            Reporter: Xiangrui Meng
>            Priority: Major
>              Labels: bulk-closed
>
> As discussed on the user-list, there is some inconsistency between 1.2 and 1.3 on how we scale lambda in the implicit formulation. In 1.2 we scale by the number of explicit ratings, while in 1.3 we scale by the number of users/items.
> https://www.mail-archive.com/user@spark.apache.org/msg24817.html
> It is worth testing which is more proper for implicit feedback.



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