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Understanding emergent web regularities with information foraging agents

Published: 15 July 2002 Publication History

Abstract

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.

Reference

[1]
B. A. Huberman, P. L. Pirolli, J. E. Pitkow, and R. M. Lukose. Strong regularities in World Wide Web surfing. Science, 280:96--97, April 3, 1997.

Cited By

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  • (2013)How Web Applications Complement Search Engines?Proceedings of the 2013 Palestinian International Conference on Information and Communication Technology10.1109/PICICT.2013.26(99-106)Online publication date: 15-Apr-2013
  • (2005)Engineering complex adaptive systems using situated multi-agentsProceedings of the 6th international conference on Engineering Societies in the Agents World10.1007/11759683_8(125-141)Online publication date: 26-Oct-2005

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  1. Understanding emergent web regularities with information foraging agents

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    cover image ACM Conferences
    AAMAS '02: Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
    July 2002
    540 pages
    ISBN:1581134800
    DOI:10.1145/544741
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 15 July 2002

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    Author Tags

    1. agent-based simulation
    2. information foraging agents
    3. self-organized criticality
    4. web regularity characterization

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    Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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    Cited By

    View all
    • (2013)How Web Applications Complement Search Engines?Proceedings of the 2013 Palestinian International Conference on Information and Communication Technology10.1109/PICICT.2013.26(99-106)Online publication date: 15-Apr-2013
    • (2005)Engineering complex adaptive systems using situated multi-agentsProceedings of the 6th international conference on Engineering Societies in the Agents World10.1007/11759683_8(125-141)Online publication date: 26-Oct-2005

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