ML Anthology

COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking

Markus Weimer, Alexandros Karatzoglou, Quoc V. Le, Alex J. Smola
NeurIPS 2007 pp. 1593-1600
/neurips/2007/weimer2007neurips-cofi/

Abstract

In this paper, we consider collaborative filtering as a ranking problem. We present a method which uses Maximum Margin Matrix Factorization and optimizes rank- ing 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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Cite

Text

Weimer et al. "COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking." Neural Information Processing Systems, 2007.

Markdown

[Weimer et al. "COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking." Neural Information Processing Systems, 2007.](https://mlanthology.org/neurips/2007/weimer2007neurips-cofi/)

BibTeX

@inproceedings{weimer2007neurips-cofi,
  title     = {{COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking}},
  author    = {Weimer, Markus and Karatzoglou, Alexandros and Le, Quoc V. and Smola, Alex J.},
  booktitle = {Neural Information Processing Systems},
  year      = {2007},
  pages     = {1593-1600},
  url       = {https://mlanthology.org/neurips/2007/weimer2007neurips-cofi/}
}