Document Type
Conference Paper
Department/Unit
Department of Computer Science
Title
Adapting recommendations organization to user preferences
Language
English
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. © 2009 IEEE.
Keywords
Organization interface, Preference elicitation, Web recommendations
Publication Date
2009
Source Publication Title
Proceedings: 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops
Start Page
58
End Page
61
Conference Location
Milan, Italy
Publisher
IET
DOI
10.1109/WI-IAT.2009.230
Link to Publisher's Edition
http://dx.doi.org/10.1109/WI-IAT.2009.230
ISBN (print)
9780769538013
ISBN (electronic)
9781424453313
APA Citation
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