• DocumentCode
    3107431
  • Title

    Rule-Based Platform for Web User Profiling

  • Author

    Zhang, Jianping ; Shukla, Manu

  • Author_Institution
    AOL, Dulles, VA
  • fYear
    2006
  • fDate
    18-22 Dec. 2006
  • Firstpage
    1183
  • Lastpage
    1187
  • Abstract
    This paper discusses a research project: rule-based Web user profiling platform. In this platform, usage data are encoded as a sequence of events, each of which represents an action performed by a user on a Web service at a given time. An event template is proposed to define event models for different Web services. The platform is rule-based. Rules define profile metrics and determine how to compute profile metrics from usage events. A prototype of the platform was implemented and was applied to generate profiles from page view events. The major contribution of the work is the rule-based approach to user profiling. It is the rules and the event template that provide the flexibility to allow the platform to be configured for different Web services.
  • Keywords
    Web services; data compression; encoding; user modelling; Web service; Web user profiling; event template; profile metrics; rule-based platform; usage data encoding; Companies; Customer relationship management; Data mining; Engineering profession; Industrial relations; Prototypes; Web and internet services; Web mining; Web pages; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining, 2006. ICDM '06. Sixth International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1550-4786
  • Print_ISBN
    0-7695-2701-7
  • Type

    conf

  • DOI
    10.1109/ICDM.2006.137
  • Filename
    4053176