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JACIII Vol.24 No.3 pp. 326-334
doi: 10.20965/jaciii.2020.p0326
(2020)

Paper:

User Modeling from Review Browsing History for Personal Values-Based Recommendation

Yasufumi Takama and Suzuto Shimizu

Graduate School of Systems Design, Tokyo Metropolitan University
6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan

Received:
September 12, 2019
Accepted:
February 26, 2020
Published:
May 20, 2020
Keywords:
information recommendation, personal values, user modeling, online reviews
Abstract
User Modeling from Review Browsing History for Personal Values-Based Recommendation

Procedure of modeling process

This paper proposes a personal values-based user modeling method from user’s browsing history of reviews. Personal values-based user modeling and its application to recommender systems have been studied. This approach models users’ personal values as the effect of item’s attributes on their decision making. While existing method obtains a user model from reviews posted by a user, this paper proposes to obtain it from reviews a user consulted for his/her decision making. Methods for determining reviews to present for obtaining user feedback, as well as for selecting items to recommend are proposed, of which effectiveness are shown with user experiments.

Cite this article as:
Y. Takama and S. Shimizu, “User Modeling from Review Browsing History for Personal Values-Based Recommendation,” J. Adv. Comput. Intell. Intell. Inform., Vol.24, No.3, pp. 326-334, 2020.
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Last updated on Sep. 24, 2020