Weighted minimum and maximun operations in fuzzy sets theory
Information Sciences: an International Journal
Query term weights as constraints in fuzzy information retrieval
Information Processing and Management: an International Journal
Journal of Artificial Intelligence Research
Reasoning with conditional ceteris paribus preference statements
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
UCP-networks: a directed graphical representation of conditional utilities
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Graphical representation of ordinal preferences: languages and applications
ICCS'10 Proceedings of the 18th international conference on Conceptual structures: from information to intelligence
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This paper describes a flexible information retrieval approach based on CP-Nets (Conditional Preferences Networks). The CP-Net formalism is used for both representing qualitative queries (expressing user preferences) and representing documents in order to carry out the retrieval process. Our contribution focuses on the difficult task of term weighting in the case of qualitative queries. In this context, we propose an accurate algorithm based on UCP-Net features to automatically weight Boolean queries. Furthermore, we also propose a flexible approach for query evaluation based on a flexible aggregation operator adapted to the CP-Net semantics.