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Personalizing E-Commerce with Data Mining

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E-Service Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 37))

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Author information

Authors and Affiliations

  1. Brigham Young University, UT 84602, Provo

    Matthew Smith

  2. Brigham Young University, UT 84602, Provo

    Brent Wenerstrom

  3. Brigham Young University, UT 84602, Provo

    Christophe Giraud-Carrier

  4. BYU Bookstore, UT 84602, Provo

    Steve Lawyer

  5. Overstock.com, UT 84121, Salt Lake City

    Wendy Liu

Authors
  1. Matthew Smith
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  2. Brent Wenerstrom
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  3. Christophe Giraud-Carrier
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  4. Steve Lawyer
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  5. Wendy Liu
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Editor information

Editors and Affiliations

  1. Faculty of Information Technology, University of Technology, Sydney (UTS), 123, NSW 2007, Broadway, Australia

    Jie Lu

  2. Faculty of Information Technology, University of Technology, Sydney (UTS), 124, NSW 2008, Broadway, Australia

    Guangquan Zhang

  3. The Belgian Nuclear Research Centre (SCK.CEN), Boeretang 200, 2400 Mol, Belgium

    Da Ruan

  4. Department of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281 (S9), 9000, Gent, Belgium

    Da Ruan

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© 2007 Springer-Verlag Berlin Heidelberg

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Smith, M., Wenerstrom, B., Giraud-Carrier, C., Lawyer, S., Liu, W. (2007). Personalizing E-Commerce with Data Mining. In: Lu, J., Zhang, G., Ruan, D. (eds) E-Service Intelligence. Studies in Computational Intelligence, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37017-8_12

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  • DOI: https://doi.org/10.1007/978-3-540-37017-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37015-4

  • Online ISBN: 978-3-540-37017-8

  • eBook Packages: EngineeringEngineering (R0)

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