WebMate: a personal agent for browsing and searching
AGENTS '98 Proceedings of the second international conference on Autonomous agents
A hybrid user model for news story classification
UM '99 Proceedings of the seventh international conference on User modeling
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
User Profile Modeling and Applications to Digital Libraries
ECDL '99 Proceedings of the Third European Conference on Research and Advanced Technology for Digital Libraries
Evaluating a User-Model Based Personalisation Architecture for Digital News Services
ECDL '00 Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries
SIFT: a tool for wide-area information dissemination
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
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In this paper a methodology designed to improve the intelligent personalization of newspaper services is presented. The methodology integrates textual content analysis tasks to achieve an elaborate user model, which represents separately short-term needs and long-term multi-topic interests. The characterization of user's interests includes his preferences about structure, content and information delivery. A wide coverage and non-specific-domain classification of topics and a personal set of keywords allow the user to define his preferences about content. The application of implicit feedback allows a proper and dynamic personalization. Another topic that have been addressed in the thesis is the evaluation of systems offering to send users a selection of the daily news by electronic mail. Finally, the extensions to a multilingual framework are studied.