Open Access Repository

User Behavior Analysis of the Open-Ended Document Classification System

Downloads

Downloads per month over past year

Kim, YS, Kang, BH, Choi, YJ, Park, SS, Park, GC and Kim, SS 2006 , 'User Behavior Analysis of the Open-Ended Document Classification System', paper presented at the The 19th Australian Joint Conference on Artificial Intelligence, 4-8 Dec 2006, Hobart, Australia.

[img]
Preview
PDF
AI06_User_Behav...pdf | Download (191kB)
Available under University of Tasmania Standard License.

| Preview

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

Item Type: Conference or Workshop Item (Paper)
Authors/Creators:Kim, YS and Kang, BH and Choi, YJ and Park, SS and Park, GC and Kim, SS
Keywords: Web Monitoring MCRDR Text Classification Information Retrieval
Item Statistics: View statistics for this item

Actions (login required)

Item Control Page Item Control Page
TOP