Characterizing web usage regularities with information foraging agents

Jiming LIU*, Shiwu Zhang, Jie Yang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)

Abstract

Researchers have recently discovered several interesting, self-organized regularities from the World Wide Web, ranging from the structure and growth of the Web to the access patterns in Web surfing. What remains to be a great challenge in Web log mining is how to explain user behavior underlying observed Web usage regularities. In this paper, we will address the issue of how to characterize the strong regularities in Web surfing in terms of user navigation strategies, and present an information foraging agent-based approach to describing user behavior. By experimenting with the agent-based decision models of Web surfing, we aim to explain how some Web design factors as well as user cognitive factors may affect the overall behavioral patterns in Web usage.

Original languageEnglish
Pages (from-to)566-584
Number of pages19
JournalIEEE Transactions on Knowledge and Data Engineering
Volume16
Issue number5
DOIs
Publication statusPublished - May 2004

Scopus Subject Areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

User-Defined Keywords

  • Agent-based simulation
  • Autonomous agents
  • Decision models
  • Information foraging
  • Power law
  • Regularities
  • User behavior
  • Web log
  • Web mining

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