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 (US)
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

Publication series

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

Other

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

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).