Abstract
This chapter presents a multi-agent system for document categorization and adaptive filtering. A neural network approach is proposed to automate the process of agent-based categorization and adaptive filtering of electronic information sources from the WWW. Results from training and testing those networks are presented and discussed. Fuzzy logic is used to handle impreciseness in agent communication and collaboration.
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Teuteberg, F. (2003). Intelligent Agents for Document Categorization and Adaptive Filtering Using a Neural Network Approach and Fuzzy Logic. In: Abramowicz, W. (eds) Knowledge-Based Information Retrieval and Filtering from the Web. The Springer International Series in Engineering and Computer Science, vol 746. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3739-4_12
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DOI: https://doi.org/10.1007/978-1-4757-3739-4_12
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5376-6
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