This contribution presents a new approach to the representation of user's interests and preferences. The adaptive user profile includes both interests given explicitly by the user, as a query, and also preferences expressed by the valuation of relevance of retrieved documents, so to express field independent translation between terminology used by user and terminology accepted in some field of knowledge. Procedures for building, modifying and using the profile, heuristic-based significant terms selection from relevant documents are presented. Experiments concerning the profile, as a personalization mechanism of Web search system, are presented and discussed. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Indyka-Piasecka, A. (2011). Using multi-attribute structures and significance term evaluation for user profile adaptation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6922 LNAI, pp. 336–345). https://doi.org/10.1007/978-3-642-23935-9_33
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