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

["Ben McCann (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-7008?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15255122#comment-15255122 ] 

Ben McCann commented on SPARK-7008:
-----------------------------------

I've found a number of implementations:
https://github.com/zhengruifeng/spark-libFM
https://github.com/skrusche63/spark-fm
https://github.com/blebreton/spark-FM-parallelSGD
https://github.com/witgo/zen/tree/master/ml/src/main/scala/com/github/cloudml/zen/ml/recommendation

> 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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