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https://issues.apache.org/jira/browse/SPARK-7008?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14502616#comment-14502616
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Guoqiang Li edited comment on SPARK-7008 at 4/20/15 10:34 AM:
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Here's a graphx-based implementation(WIP):
https://github.com/witgo/zen/tree/FactorizationMachine
was (Author: gq):
Here's a graphx-based implementation:
https://github.com/witgo/zen/tree/FactorizationMachine
> Implement 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
>
> An implementation 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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