This chapter illustrates a novel approach to learning user interests from the way users interact with a document management system. The approach is based on a fuzzy conceptual representation of both documents and user interests, using information contained in an ontology. User models are constructed and updated by means of an on-line evolutionary algorithm. The approach has been successfully implemented in a module of a knowledge management system which helps the system improve the relevance of responses to user queries.
An ontology-based method for user model acquisition / Célia da Costa Pereira, Andrea G. B. Tettamanzi - In: Soft computing in ontologies and semantic Web / [a cura di] Zongmin Ma. - Berlin : Springer, 2006. - ISBN 3540334726. - pp. 211-227 [10.1007/978-3-540-33473-6_8]
An ontology-based method for user model acquisition
C.C. Pereira;A.G.B. Tettamanzi
2006
Abstract
This chapter illustrates a novel approach to learning user interests from the way users interact with a document management system. The approach is based on a fuzzy conceptual representation of both documents and user interests, using information contained in an ontology. User models are constructed and updated by means of an on-line evolutionary algorithm. The approach has been successfully implemented in a module of a knowledge management system which helps the system improve the relevance of responses to user queries.
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