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Posted to issues@spark.apache.org by "Nick Pentreath (JIRA)" <ji...@apache.org> on 2015/10/23 13:40:28 UTC

[jira] [Commented] (SPARK-7008) An implementation of Factorization Machine (LibFM)

    [ https://issues.apache.org/jira/browse/SPARK-7008?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14970870#comment-14970870 ] 

Nick Pentreath commented on SPARK-7008:
---------------------------------------

Is this now going in 1.6 (as per SPARK-10324)? If so is there a PR, since I cannot find one related.

> An implementation of Factorization Machine (LibFM)
> --------------------------------------------------
>
>                 Key: SPARK-7008
>                 URL: https://issues.apache.org/jira/browse/SPARK-7008
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: zhengruifeng
>              Labels: features
>         Attachments: FM_CR.xlsx, FM_convergence_rate.xlsx, QQ20150421-1.png, QQ20150421-2.png
>
>
> An implementation of Factorization Machines based on Scala and Spark MLlib.
> FM is a kind of machine learning algorithm for multi-linear regression, and is widely used for recommendation.
> FM works well in recent years' recommendation competitions.
> Ref:
> http://libfm.org/
> http://doi.acm.org/10.1145/2168752.2168771
> http://www.inf.uni-konstanz.de/~rendle/pdf/Rendle2010FM.pdf



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