Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Improving User Modelling with Content-Based Techniques
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
On-Line Evolution of FPGA-Based Circuits: A Case Study on Hash Functions
EH '99 Proceedings of the 1st NASA/DOD workshop on Evolvable Hardware
Possibility theory as a basis for qualitative decision theory
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Personalized recommendation of related content based on automatic metadata extraction
CASCON '08 Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds
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In this paper we propose a new approach to User Model Acquisition (UMA) which has two important features. It doesn't assume that users always have a well-defined idea of what they are looking for, and it is ontology-based, i.e., we deal with concepts instead of keywords to formulate queries.