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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Pereira, C.d., Tettamanzi, A.G. (2006). An Ontology-Based Method for User Model Acquisition. In: Ma, Z. (eds) Soft Computing in Ontologies and Semantic Web. Studies in Fuzziness and Soft Computing, vol 204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-33473-6_8
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DOI: https://doi.org/10.1007/978-3-540-33473-6_8
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