• DocumentCode
    1659042
  • Title

    Subsessions: a granular approach to click path analysis

  • Author

    Menasalvas, Ernestina ; Millán, Socorro ; Peña, José M. ; Hadjimichae, Michael ; Marbán, Oscar

  • Author_Institution
    Fac. de Inf., Univ. Politecnica de Madrid, Spain
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    878
  • Lastpage
    883
  • Abstract
    Electronic, web-based commerce enables and demands the application of intelligent methods to analyze information collected from consumer web sessions. We propose a method of increasing the granularity of the user session analysis by isolating useful subsessions within web page access sessions, where each subsession represents a frequently traversed path indicating high-level user activity. The subsession approximates user state information as well as anticipated user activity, and as a result is useful for personalization and pre-caching
  • Keywords
    Internet; data mining; electronic commerce; information resources; retail data processing; user interface management systems; click path analysis; electronic commerce; granularity; retailing; subsession; user activity; user session analysis; web log analysis; web page access sessions; web-based commerce; Access protocols; Business; Data mining; Information analysis; Pattern analysis; Performance analysis; Uniform resource locators; Web mining; Web pages; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7280-8
  • Type

    conf

  • DOI
    10.1109/FUZZ.2002.1006620
  • Filename
    1006620