Skip to main content
SpringerLink
Log in

Application of Bayesian Networks to Shopping Assistance

  • Conference paper
  • First Online:
Advances in Artificial Intelligence (Canadian AI 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2338))

Abstract

We develop an on-line shopping assistant that can help a e-shopper to select a product from many on-line shops based on the personal preference. The shopping assistant is developed based on value networks which extend Bayesian networks with user preference. On-line shopping of bicycles is used as the application domain.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Grass, J. and Zilberstein, S. A Value-Driven System for Autonomous Information Gathering. Journal of Intelligent Information Systems, Vol. 14, Kluwer Academic Publishers, pages 5–27, 2000.

    Article  Google Scholar 

  2. Jensen, F. V. An Introduction To Bayesian Networks. UCL Press, 1996.

    Google Scholar 

  3. Pearl, J. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, 1988.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Guelph, Canada

    Yang Xiang, Chenwen Ye & Deborah Ann Stacey

Authors
  1. Yang Xiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chenwen Ye
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Deborah Ann Stacey
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Computer Science, University of Waterloo, 200 University Ave.W., Waterloo, Ontario, Canada, N2L 3G1

    Robin Cohen

  2. IIT - e-Business, National Research Council, Incutech Brunswick, 2 Garland Court, Frederiction, New Brunswick, Canada, E3B 6C2

    Bruce Spencer

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Xiang, Y., Ye, C., Stacey, D.A. (2002). Application of Bayesian Networks to Shopping Assistance. In: Cohen, R., Spencer, B. (eds) Advances in Artificial Intelligence. Canadian AI 2002. Lecture Notes in Computer Science(), vol 2338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47922-8_31

Download citation

  • DOI: https://doi.org/10.1007/3-540-47922-8_31

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43724-6

  • Online ISBN: 978-3-540-47922-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation