Learning Fuzzy Models of User Interests in a Semantic Information Retrieval System
Mauro Dragoni, Pereira Célia da Costa, Andrea G. B. Tettamanzi · Frontiers in artificial intelligence and applications · 2010
We propose an approach to user model-based information retrieval which uses an evolutionary algorithm to learn fuzzy models of user interests and to dynamically track their changes as the user interacts with the system. The system is ontology-based, in the sense that it considers concepts behind terms instead of simple terms.