A decision theoretic framework for approximating concepts
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A knowledge retrieval model using ontology mining and user profiling
Integrated Computer-Aided Engineering
A two-stage text mining model for information filtering
Proceedings of the 17th ACM conference on Information and knowledge management
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WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
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The goal of this paper is to develop a user profile model for agent-based information filtering. We try to formalize the whole process of information filtering from an Artificial Intelligence point view. This research is related to develop novel techniques for interactive information gathering with the application of Artificial Intelligence, and Information Retrieval technologies. In this paper, we present a dynamical model to represent user profiles. We describe the user profiles as random sets on a concept space (taxonomy). We also present a rough set based qualitative decision model for the task of information filtering.