The web from a complex adaptive systems perspective
Journal of Computer and System Sciences
ESAW'05 Proceedings of the 6th international conference on Engineering Societies in the Agents World
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In Web Intelligence (WI) applications, it is a common practice to record Web log data. What remains a big obstacle as well as a great challenge in log analysis today is how to characterize the underlying user behavior from the obtained data.In this paper, we will focus on how to interpret strong regularities in Web surfing in terms of user decision-making patterns, and present an information foraging agent-based approach to characterizing user behavior.