Handling conditional preferences in recommender systems

Authors:
Zhiyong Yu;Zhiwen Yu;Xingshe Zhou;Yuichi Nakamura
Affiliations:
Northwestern Polytechnical University, Xi'an, China and Kyoto University, Kyoto, Japan;Kyoto University, Kyoto, Japan;Northwestern Polytechnical University, Xi'an, China;Kyoto University, Kyoto, Japan
Venue:
Proceedings of the 14th international conference on Intelligent user interfaces
Year:
2009

Citing 11
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Abstract

In this paper, we propose an approach to handle conditional preferences in recommender systems. A quantitative conditional preference model based on domain knowledge is introduced. The inheritance property in concept trees and bipolar property in preference statements are adopted when interpreting conditional preference rules. Group preferences are merged from personal preferences with consideration of manipulability. A graphical user interface is developed for visualization of domain knowledge, conditional preference rules, personal and group preferences.