Representation and learning in information retrieval
Representation and learning in information retrieval
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
Using and Evaluating User Directed Summaries to Improve Information Access
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
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In this paper we present a methodology designed to improve the intelligent personalization of news services. Our 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 content, using a wide coverage and non-specific-domain classification of topics, and structure (newspaper sections). The application of implicit feedback allows a proper and dynamic personalization.