CofiRank - Maximum Margin Matrix Factorization for Collaborative Ranking

Markus Weimer, Alexandros Karatzoglou, Quoc Viet Le, Alex Smola

Abstract

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.

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BibTeX

@inproceedings{Weimer:2008ys,
  Title = {COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking}, 
  Author = {Markus Weimer and Alexandros Karatzoglou and Quoc Viet Le and Alexander J. Smola}, 
  Booktitle = {Advances in Neural Information Processing Systems 20}, 
  Editor = {J.C. Platt and D. Koller and Y. Singer and S. Roweis}, 
  Pages = {1593--1600}, 
  Publisher = {MIT Press}, 
  Year = {2008}, 
  Address = {Cambridge, MA} 
}