COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
Weimer, Markus, Karatzoglou, Alexandros, Le, Quoc V., Smola, Alex J.
–Neural Information Processing Systems
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 employ structured output prediction to optimize directly for ranking scores. Experimental results show that our method gives very good ranking scores and scales well on collaborative filtering tasks.
Neural Information Processing Systems
Dec-31-2008
- Genre:
- Research Report > New Finding (0.48)