2007
NeurIPS
NeurIPS 2007
COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
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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- Artificial Intelligence and Data Science & Analytics
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- Ranking
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Hot Topic Early Bird
- recommender system