Introducing Session Relevancy Inspection in Web Page

  • Sutirtha Kumar Guha
  • Anirban Kundu
  • Rana Dattagupta
Part of the Advances in Intelligent Systems and Computing book series (volume 167)


In this paper, we propose a new technique for checking the relevancy of sessions created by visitors on a web-page for measuring the web-page ranking, since session of a web-page is considered as an important parameter for web-page ranking calculation in a search engine. It is assumed that session on a web-page depends on the relevancy of the web-page contents with respect to the requirement. A longer session on a web-page may not yield high relevancy of the web-page, hence a threshold value (THV) is considered for individual web-page based on the contents to avoid the probable noise. The threshold value (THV) is calculated by Keyword Matching Index (Kindex) and Data Transfer Speed of the client-server. The Kindex is measured by implementing fuzzy logic on Pattern Matching of requirement and web-page contents. Field Matching information is fetched through hierarchical database.


Session Threshold value (THV) Field Matching Pattern Matching Keyword Matching Index (Kindex) 


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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Sutirtha Kumar Guha
    • 1
    • 3
  • Anirban Kundu
    • 2
    • 3
  • Rana Dattagupta
    • 4
  1. 1.Seacom Engineering CollegeHowrahIndia
  2. 2.Kuang-Chi Institute of Advanced TechnologyShenzhenP.R. China
  3. 3.Innovation Research LabJalpaiguriIndia
  4. 4.Jadavpur UniversityKolkataIndia

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