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COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
Markus Weimer · Alexandros Karatzoglou · Quoc V Le · Alexander Smola
In this paper, we consider collaborative filtering as a ranking problem. We present a method which uses Maximum Margin Matrix Factorization and optimizes ranking instead of rating. We use structured output prediction to optimize for specific non-uniform ranking scores. Experimental results show that our method gives very good ranking scores and scales well on collaborative filtering tasks.
Author Information
Markus Weimer (Microsoft)
Alexandros Karatzoglou (Telefonica Research)
Quoc V Le (Stanford)
Alexander Smola (Amazon)
**AWS Machine Learning**
Related Events (a corresponding poster, oral, or spotlight)
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2007 Poster: COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking »
Tue. Dec 4th 06:30 -- 06:40 PM Room
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