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Guoqiang Li updated SPARK-7008: ------------------------------- Attachment: FM_convergence_rate.xlsx QQ20150421-1.png QQ20150421-2.png This is my test chart on convergence rate(Binary classification). url: http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/url_combined.bz2 kdda: http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/kdda.bz2 > An 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 > 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 -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org