CFUI: Collaborative Filtering with Unlabeled Items

6 Pages Posted: 22 Nov 2010

See all articles by Jing Peng

Jing Peng

University of Connecticut - Department of Operations & Information Management

Daniel D. Zeng

University of Arizona - Department of Management Information Systems

Bing Liu

University of Illinois at Chicago

Huimin Zhao

University of Wisconsin - Milwaukee - Sheldon B. Lubar School of Business

Date Written: November 21, 2010

Abstract

As opposed to Web search, social tagging can be considered an alternative technique tapping into the wisdom of the crowd for organizing and discovering information on the Web. Effective tag-based recommendation of information items is critical to the success of this social information discovery mechanism. Over the past few years, there have been a growing number of studies aiming at improving the item recommendation quality of collaborative filtering (CF) methods by leveraging tagging information. However, a critical problem that often severely undermines the performance of tag-based CF methods, i.e., sparsity of user-item and user-tag interactions, is still yet to be adequately addressed. In this paper, we propose a novel learning framework, which deals with this data sparsity problem by making effective use of unlabeled items and propagating users’ preference information between the item space and the tag space. Empirical evaluation using real-world tagging data demonstrates the utility of the proposed framework.

Keywords: Social Tagging, Sparsity, Tag-Based Recommendation, Unlabeled Items

Suggested Citation

Peng, Jing and Zeng, Daniel D. and Liu, Bing and Zhao, Huimin, CFUI: Collaborative Filtering with Unlabeled Items (November 21, 2010). Proceedings of 20th Workshop on Information Technologies and Systems, 2010, Available at SSRN: https://ssrn.com/abstract=1712748

Jing Peng (Contact Author)

University of Connecticut - Department of Operations & Information Management ( email )

368 Fairfield Road
Storrs, CT 06269-2041
United States

Daniel D. Zeng

University of Arizona - Department of Management Information Systems ( email )

AZ
United States

Bing Liu

University of Illinois at Chicago ( email )

1200 W Harrison St
Chicago, IL 60607
United States

Huimin Zhao

University of Wisconsin - Milwaukee - Sheldon B. Lubar School of Business ( email )

P.O. Box 742
3202 N. Maryland Ave.
Milwaukee, WI 53201-0742
United States

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