Recommendation Technologies: Survey of Current Methods and Possible Extensions

39 Pages Posted: 13 Oct 2008

See all articles by Gediminas Adomavicius

Gediminas Adomavicius

University of Minnesota - Twin Cities - Carlson School of Management

Alexander Tuzhilin

New York University (NYU) - Leonard N. Stern School of Business; New York University (NYU) - Department of Information, Operations, and Management Sciences

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Date Written: 2003

Abstract

The paper presents a survey of the field of recommender systems anddescribes current recommendation methods that are usually classified into thefollowing three main categories: content-based, collaborative, and hybridrecommendation approaches. The paper also describes various limitations ofcurrent recommendation methods and discusses possible extensions that canimprove recommendation capabilities. These extensions include, among others,improvement of understanding of users and items, incorporation of the contextualinformation into the recommendation process, support for multi-criteria ratings,and provision of more flexible and less intrusive types of recommendations.

Keywords: recommender systems, survey, rating estimation methods, extensions to recommender systems

Suggested Citation

Adomavicius, Gediminas and Tuzhilin, Alexander, Recommendation Technologies: Survey of Current Methods and Possible Extensions (2003). Information Systems Working Papers Series, Vol. , pp. -, 2003. Available at SSRN: https://ssrn.com/abstract=1282990

Gediminas Adomavicius (Contact Author)

University of Minnesota - Twin Cities - Carlson School of Management ( email )

19th Avenue South
Minneapolis, MN 55455
United States

Alexander Tuzhilin

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

New York University (NYU) - Department of Information, Operations, and Management Sciences

44 West Fourth Street
New York, NY 10012
United States

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