Personal Values-based User Modeling from Browsing History of Reviews

This paper proposes a user modeling method from user’s browsing history of reviews. Personal values-based recommendation method has been proposed, which models users’ personal values as the effect of item’s attribute 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 decision making. In order to identify an attribute that affects on user’s decision making efficiently, the proposed method dynamically selects reviews mentioning attributes on which a user might put priority and presented to the user. A method for selecting items to recommend based on the obtained user models is also proposed. An experimental result with test participants shows the effectiveness of the proposed method. ACM Classification