Advertisement

Evolving User Profiles to Reduce Internet Information Overload

  • John Pagonis
  • Mark C. Sinclair
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 9)

Abstract

This paper discusses the use of Evolving Personal Agent Environments as a potential solution to the problem of information overload as experienced in habitual Web surfing. Some first experimental results on evolving user profiles using speciating hybrid GAs, the reasoning behind them and support for their potential application in mobile, wireless and location aware information devices are also presented.

Keywords

Multiagent System Optical Network User Profile Crossover Operator User Satisfaction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Hallo, B. (1998): How the PC will Disappear, IEEE Computer 31, 136–138Google Scholar
  2. 2.
    Kleinrock, L. (1999): Nomadic Computing and Smart Spaces, IEEE Internet Computing 4, 52–53CrossRefGoogle Scholar
  3. 3.
    Ireland, P. (1999): Management Paradigm to Reduce Information Overload, Computing and Control Engineering Journal 10, 29–32CrossRefGoogle Scholar
  4. 4.
    Bowman, C.M., Danzig, P.B., Manber, U. and Schwartz, F. (1994): Scalable Internet Resource Discovery: Research Problems and Approaches, Commun ACM 37, 98–107Google Scholar
  5. 5.
    Pagonis, J. and Sinclair, M.C. (1999): Evolving Personal Agent Environments to Reduce Internet Information Overload: Initial Considerations. In: IEE Colloquium on Lost in the Web: Navigation on the Internet, Digest No. 1999/169, London, UK, 2/1–2/10Google Scholar
  6. 6.
    Billinghurst, M. and Starner, T. (1999): New Ways to Manage Information, Computer 32, 57–64CrossRefGoogle Scholar
  7. 7.
    Moukas, A.G. (1996): Amalthaea: Information Discovery and Filtering using a Multiagent Evolving Ecosystem. In: Conf. on Practical Application of Intelligent Agents and Multi-Agent Technology, London, UKGoogle Scholar
  8. 8.
    Moukas, A. (1997): Amalthaea: Information Discovery and Filtering Using a Multiagent Evolving Ecosystem, Applied Artificial Intelligence 11, 437–457Google Scholar
  9. 9.
    Moukas, A. and Maes, P. (1998): Amalthaea: An Evolving Multi-agent Information Filtering and Discovery System for the WWW, Autonomous Agents and Multi-Agent Systems 1, 59–88Google Scholar
  10. 10.
    Chen, H.C., Chung, Y.M., Ramsey, M. and Yang, C.C. (1998): An Intelligent Personal Spider ( Agent) for Dynamic Internet/Intranet Searching, Decision Support Systems 23, 41–58CrossRefGoogle Scholar
  11. 11.
    Chen, H.C., Houston, A.L., Sewell, R.R. and Schatz, B.R. (1998): Internet Browsing and Searching: User Evaluations of Category Map and Concept Space Techniques, Journal of the American Society for Information Science 49, 582–603Google Scholar
  12. 12.
    Chen, L. and Sycara, K. (1998): WebMate: A Personal Agent for Browsing and Searching. In: 2nd Intl. Conf. on Autonomous Agents and Multiagent Systems, Minneapolis, USA, 132–139Google Scholar
  13. 13.
    WebMate, http://www.cs.cmu.edu/~softagents/webmate.html
  14. 14.
    Autonomy, Technology White Paper, http://www.autonomy.com/tech/wp.html
  15. 15.
    Sinclair, M.C. (1998) Operator-probability Adaptation in a Geneticalgorithm/Heuristic Hybrid for Optical Network Wavelength Allocation. In: IEEE Intl. Conf. on Evolutionary Computation (ICEC’98), Anchorage, Alaska, USA, 840–845Google Scholar
  16. 16.
    Sinclair, M.C. (1998): NOMaD: An Optical Network Optimisation, Modelling and Design Toolset. In: IEE Colloquium on Multiwavelength Optical Networks: Devices, Systems and Network Implementations, Digest No. 1998/296, London, 6/1–6/6Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • John Pagonis
    • 1
  • Mark C. Sinclair
    • 2
  1. 1.Personal Area NetworkingCommunication Technology Group, Symbian Ltd.LondonUK
  2. 2.Dept. of Electronic Systems EngineeringUniversity of EssexColchester, EssexUK

Personalised recommendations