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Application of Bayesian Networks to Shopping Assistance

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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.

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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.

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

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

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© 2002 Springer-Verlag Berlin Heidelberg

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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

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

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43724-6

  • Online ISBN: 978-3-540-47922-2

  • eBook Packages: Springer Book Archive

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