Skip to main content

A decision-theoretic approach for pre-sending information on the WWW

  • Stochastic Process
  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1531))

Abstract

We present a decision-theoretic model which determines whether to pre-send web documents a user is likely to request. Our model balances the cost of transmitting information with the inconvenience or cost to a user caused by having to wait for information. It uses a Markov model built from web-access data to predict which documents are likely to be requested next. A comparative evaluation of our presending scheme identifies circumstances in which our scheme is beneficial for users.

This is a preview of subscription content, log in via an institution.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Albrecht, D. W., Zukerman, I., and Nicholson, A. E. (1998). Bayesian models for keyhole plan recognition in an adventure game. User Modeling and User-Adapted Interaction.

    Google Scholar 

  2. Armstrong, R., Freitag, D., Joachims, T., and Mitchell, T. (March, 1995). Web-Watcher: A learning apprentice for the World Wide Web. In AAAI Spring Symposium on Information Gathering from Heterogeneous, Distributed Environments.

    Google Scholar 

  3. Balabanović, M. (1998). Exploring versus exploiting when learning user models for text recommendation. User Modeling and User-adapted Interaction.

    Google Scholar 

  4. Bestavros, A. (1996). Speculative data dissemination and service to reduce server load, network traffic and service time in distributed information systems. In ICDE’96—Proceedings of the 1996 International Conference on Data Engineering.

    Google Scholar 

  5. Joachims, T., Freitag, D., and Mitchell, T. (1997) Webwatcher: A tour guide for the world wide web. In IJCAI97—Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, pages 770–775, Nagoya, Japan.

    Google Scholar 

  6. Lesh, N. and Etzioni, O. (1995). A sound and fast goal recognizer. In IJCAI95—Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, pages 1704–1710, Montreal, Canada.

    Google Scholar 

  7. Lieberman, H. (1995). Letizia: An agent that assists web browsing. In IJCAI95—Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, pages 924–929, Montreal, Canada.

    Google Scholar 

  8. Nicholson, A. E., Zukerman, I., and Albrecht, D. W. (1998). A Decision-theoretic approach for pre-sending information on the WWW. Technical Report 98/15 School of Computer Science and Software Engineering, Monash University, Australia.

    Google Scholar 

  9. Pazzani, M., Muramatsu, J., and Billsus, D. (1996). Syskill & Webert: Identifying interesting web sites. In AAAI96—Proceedings of the Thirteenth National Conference on Artificial Intelligence, pages 54–61.

    Google Scholar 

  10. Salton, G. and McGill, M. (1983). An Introduction to Modern Information Retrieval. McGraw Hill.

    Google Scholar 

  11. Starr, B., Ackerman, M., and Pazzani, M. (1996). Do-I-Care: A collaborative web agent. In CHI’96—Proceedings of the ACM Conference on Human Factors in Computing Systems, pages 273–274.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Hing-Yan Lee Hiroshi Motoda

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nicholson, A.E., Zukerman, I., Albrecht, D.W. (1998). A decision-theoretic approach for pre-sending information on the WWW. In: Lee, HY., Motoda, H. (eds) PRICAI’98: Topics in Artificial Intelligence. PRICAI 1998. Lecture Notes in Computer Science, vol 1531. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0095302

Download citation

  • DOI: https://doi.org/10.1007/BFb0095302

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65271-7

  • Online ISBN: 978-3-540-49461-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics