• DocumentCode
    2281257
  • Title

    The Effect of Context on the Predictive Performance of Segmentation

  • Author

    Faraone, M.F. ; Gorgoglione, M. ; Lombardi, S. ; Palmisano, C. ; Panniello, U. ; Tuzhilin, A.

  • Author_Institution
    Politec. di Bari, Bari
  • Volume
    3
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    63
  • Lastpage
    66
  • Abstract
    Recent research showed that including context in customer behavior models improves predictive performance, especially when the unit of analysis is the single customer. Also segmentation has proved to improve the performance of predictive modeling. The research contribution of this work lies in studying interaction effects between segmentation and contextual information. Several experiments were done on a data set coming from an e-commerce application.
  • Keywords
    consumer behaviour; marketing data processing; contextual information; customer behavior models; e-commerce; predictive modeling; segmentation information; Context modeling; Data mining; Decision making; Demography; Information analysis; Intelligent agent; Performance analysis; Portals; Predictive models; Statistics; Context; Predictive Modeling; Segmantation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-0-7695-3496-1
  • Type

    conf

  • DOI
    10.1109/WIIAT.2008.359
  • Filename
    4740728
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2281257