Abstract
Real-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.
This work is supported by the Asian Office of Aerospace Research and Development (AOARD) (Contract Number:FA5209-05-P-0253).
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Kim, Y.S., Kang, B.H., Choi, Y.J., Park, S., Park, G.C., Kim, S.S. (2006). User Behavior Analysis of the Open-Ended Document Classification System. In: Sattar, A., Kang, Bh. (eds) AI 2006: Advances in Artificial Intelligence. AI 2006. Lecture Notes in Computer Science(), vol 4304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941439_128
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DOI: https://doi.org/10.1007/11941439_128
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