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2007 NeurIPS NeurIPS 2007

COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking

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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Data Science & Analytics
📈 Trend Setter - Ranking
🐣 Hot Topic Early Bird - recommender system

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