JACIII Vol.16 No.3 pp. 404-411
doi: 10.20965/jaciii.2012.p0404


Investigation About Applicability of Personal Values for Recommender System

Shunichi Hattori and Yasufumi Takama

Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan

September 15, 2011
December 8, 2011
May 20, 2012
information recommendation, user modeling, personal values
A recommender systemis a fundamental technique for finding information that is likely to be preferred by users among vast amounts of information. While existing recommender systems usually employ user preference or attributes of items to make recommendations, marketing fields have been taking notice of personal values, because that such values are significantly related to user preference. This paper investigates the applicability of personal values in modeling items and users. The results of questionnaires show the feasibility of a recommender system based on personal values.
Cite this article as:
S. Hattori and Y. Takama, “Investigation About Applicability of Personal Values for Recommender System,” J. Adv. Comput. Intell. Intell. Inform., Vol.16 No.3, pp. 404-411, 2012.
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