User profiling for semantic browsing in medical digital libraries
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Using multi-attribute structures and significance term evaluation for user profile adaptation
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Study on user preferences modelling based on web mining
International Journal of Information Technology and Management
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In this paper the model of interests and preferences of information retrieval system users is presented. The paper starts with a short overview on areas of user profiles applications. Subsequently, a method to represent user profiles in the field of Web document retrieval by using query terms and weighted terms of retrieved documents is presented. The method is based on evaluating the relevance of retrieved documents by the user. The relevant documents are the basis to construct so called subprofiles. The created subprofiles represent user interests and preferences, and are used for the user query modification.