A fully automated recommender system using collaborative filters

Wadee S. Al Halabi; Miroslav Kubat; Moiez Tapia

A fully automated recommender system using collaborative filters

Wadee S. Al Halabi, Miroslav Kubat, Moiez Tapia

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Recommender systems represent valuable marketing tools in e-commerce. No wonder that this field has enjoyed quite some attention from the scientific community that seeks to develop algorithms that optimize the performance of recommender systems based on the analysis of historical data. In the research reported here, we experimented with a mechanism that combines traditional collaborative filtering approaches with explicit rating. This paper describes the technique and illustrates its behavior in a test-bed we created from real-world data. The results are promising.

Original language	English (US)
Title of host publication	Proceedings of the Sixth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007
Pages	226-231
Number of pages	6
State	Published - Dec 1 2007
Event	6th IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007 - Banff, AB, Canada Duration: Jul 2 2007 → Jul 4 2007

Publication series

Name	Proceedings of the Sixth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007

Other

Other	6th IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007
Country	Canada
City	Banff, AB
Period	7/2/07 → 7/4/07

Keywords

Collaborative filtering
Internet tools
Recommender systems
User profile

ASJC Scopus subject areas

Computer Networks and Communications
Software

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Cite this

Al Halabi, W. S., Kubat, M., & Tapia, M. (2007). A fully automated recommender system using collaborative filters. In Proceedings of the Sixth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007 (pp. 226-231). (Proceedings of the Sixth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007).

A fully automated recommender system using collaborative filters. / Al Halabi, Wadee S.; Kubat, Miroslav; Tapia, Moiez.

Proceedings of the Sixth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007. 2007. p. 226-231 (Proceedings of the Sixth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Al Halabi, WS, Kubat, M & Tapia, M 2007, A fully automated recommender system using collaborative filters. in Proceedings of the Sixth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007. Proceedings of the Sixth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007, pp. 226-231, 6th IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007, Banff, AB, Canada, 7/2/07.

Al Halabi WS, Kubat M, Tapia M. A fully automated recommender system using collaborative filters. In Proceedings of the Sixth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007. 2007. p. 226-231. (Proceedings of the Sixth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007).

Al Halabi, Wadee S. ; Kubat, Miroslav ; Tapia, Moiez. / A fully automated recommender system using collaborative filters. Proceedings of the Sixth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007. 2007. pp. 226-231 (Proceedings of the Sixth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007).

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