A fully automated recommender system using collaborative filters

Wadee S. Al Halabi, Miroslav Kubat, Moiez Tapia

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings of the Sixth IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007
Pages226-231
Number of pages6
StatePublished - Dec 1 2007
Event6th IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007 - Banff, AB, Canada
Duration: Jul 2 2007Jul 4 2007

Other

Other6th IASTED International Conference on Communications, Internet, and Information Technology, CIIT 2007
CountryCanada
CityBanff, AB
Period7/2/077/4/07

Fingerprint

Recommender systems
Collaborative filtering
Marketing

Keywords

  • Collaborative filtering
  • Internet tools
  • Recommender systems
  • User profile

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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)

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.

Research output: Chapter in Book/Report/Conference proceedingConference 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. 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
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
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