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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14144
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| Title: | Recommendation Technologies: Survey of Current Methods and Possible Extensions |
| Authors: | Adomavicius, Gediminas
Tuzhilin, Alexander |
| Keywords: | recommender systems
survey
rating estimation methods
extensions to recommender systems |
| Issue Date: | 1-Jan-2003 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-03-06 |
| Abstract: | The paper presents a survey of the field of recommender systems and
describes current recommendation methods that are usually classified
into the following three main categories: content-based, collaborative,
and hybrid recommendation approaches. The paper also describes various
limitations of current recommendation methods and discusses possible
extensions that can improve recommendation capabilities. These
extensions include, among others, improvement of understanding of users
and items, incorporation of the contextual information into the
recommendation process, support for multi-criteria ratings, and
provision of more flexible and less intrusive types of recommendations. |
| URI: | http://hdl.handle.net/2451/14144 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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