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

• Type: New Feature
• Status: Resolved
• Priority: Major
• Resolution: Not A Problem
• Component/s: MLlib
• Labels: features pull-request-available
• Flags: Important
• External issue URL: https://github.com/zhengruifeng/spark-factorization-machine
• Assignee: Unassigned
• Reporter: Ruifeng Zheng
• Shepherd: Xiangrui Meng
• Created: 20/Apr/15 09:33
• Updated: 2 days ago 00:45
• Resolved: 08/May/19 10:35

Description

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

Issue Links

• links to: [Github] Pull Request #5591 (zhengruifeng)
• links to: GitHub Pull Request #48898