Department of Computer Science
Adapting recommendations organization to user preferences
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. © 2009 IEEE.
Organization interface, Preference elicitation, Web recommendations
Source Publication Title
Proceedings: 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops
Link to Publisher's Edition
Chen, L. (2009). Adapting recommendations organization to user preferences. Proceedings: 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, 58-61. https://doi.org/10.1109/WI-IAT.2009.230