Adapting Recommendations Organization to User Preferences

Authors:
Li Chen
Affiliations:
-
Venue:
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Year:
2009

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Abstract

Given the overwhelming information appearing in the current web environment, recommendations have been increasingly applied to assist users in handling with the information overload and locating items that interest them. As a different way to generate and display recommendations, the organization interface has been found being more effective in building users' trust. In this paper, we propose a novel approach to generating the organization of recommendations, with the goal of making it dynamically adaptive to different conditions of user preferences (i.e. "incomplete preferences" and/or "preference conflicts"), so as to optimally support users' preference construction process and accurate decisions.