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Posted to issues@spark.apache.org by "zhengruifeng (JIRA)" <ji...@apache.org> on 2015/04/21 10:04:59 UTC
[jira] [Updated] (SPARK-7008) An implementation of Factorization
Machine (LibFM)
[ https://issues.apache.org/jira/browse/SPARK-7008?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
zhengruifeng updated SPARK-7008:
--------------------------------
Summary: An implementation of Factorization Machine (LibFM) (was: An Implement of Factorization Machine (LibFM))
> 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
> Affects Versions: 1.3.0, 1.3.1, 1.3.2
> Reporter: zhengruifeng
> Labels: features, patch
> Attachments: FM_convergence_rate.xlsx, QQ20150421-1.png, QQ20150421-2.png
>
>
> An implement of Factorization Machines based on Scala and Spark MLlib.
> Factorization Machine is a kind of machine learning algorithm for multi-linear regression, and is widely used for recommendation.
> Factorization Machines 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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