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COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking

Weimer, Markus and Karatzoglou, Alexandros and Le, Quoc and Smola, Alex :
COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking.
Advances in Neural Information Processing Systems 20 MIT Press
[Conference or Workshop Item] , (2008)

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

Item Type: Conference or Workshop Item
Erschienen: 2008
Creators: Weimer, Markus and Karatzoglou, Alexandros and Le, Quoc and Smola, Alex
Title: COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
Language: German
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

Title of Book: Advances in Neural Information Processing Systems 20
Publisher: MIT Press
Divisions: Department of Computer Science > Telecooperation
Department of Computer Science
Date Deposited: 31 Dec 2016 12:59
Identification Number: TUD-CS-2008-1218
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