Measuring retrieval effectiveness based on user preference of documents
Journal of the American Society for Information Science
Generalized OWA Aggregation Operators
Fuzzy Optimization and Decision Making
PHASES: A User Profile Learning Approach for Web Search
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Considering Data-Mining Techniques in User Preference Learning
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
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Learning user preferences is a complex area, especially difficult for performing experiments - every person is different and has different preferences, which often change in time. In this paper, we propose a method for testing a preference learning method that is in a sense more general than our previous attempts of testing an inductive method. We address the issue of limited rating set that results on larger datasets into more objects with the highest rating.