User Behavior Analysis of the Open-Ended Document Classification System
Kim, YS and Kang, BH and Choi, YJ and Park, SS and Park, GC and Kim, SS (2006) User Behavior Analysis of the Open-Ended Document Classification System. In: The 19th Australian Joint Conference on Artificial Intelligence, 4-8 Dec 2006, Hobart, Australia. ![[img]](http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png)  Preview |
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AbstractReal-world document classification is an open-ended problem, rather than a close-ended problem, because the document classification domain continually evolves as the time passes. Unlike the close-ended document classification, the participants in the open-ended problem actively take part in the problem solving process. For this reason, it is important to understand the problem solver's behavioral characteristics. This paper proposes a thorough analysis of them. We found that the problem solving strategies are significantly different among participants because of individual differences in cognition among participants | Item Type: | Conference or Workshop Item (Paper) |
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| Keywords: | Web Monitoring
MCRDR
Text Classification
Information Retrieval |
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| ID Code: | 724 |
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| Deposited By: | A. Professor Byeong Ho Kang |
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| Deposited On: | 08 Feb 2007 |
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| Last Modified: | 18 Jul 2008 19:48 |
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