Abstract
This contribution presents a new approach to the representation of user interests and preferences at information retrieval process on the Web. The adaptive user profile includes both interests given explicitly by the user, as a query, and also preferences expressed during relevance valuation process, so to express field independent translation between terminology used by the user and terminology accepted in some field of knowledge. Building, modifying, expanding (by semantically related terms) and using procedures for the profile are presented. Experiments concerning the profile, as a personalization mechanism of Web retrieval system, are presented and discussed.
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Indyka-Piasecka, A., Jacewicz, P., Kukla, E. (2015). User Personalisation for the Web Information Retrieval Using Lexico-Semantic Relations. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9329. Springer, Cham. https://doi.org/10.1007/978-3-319-24069-5_40
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DOI: https://doi.org/10.1007/978-3-319-24069-5_40
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