• DocumentCode
    2275917
  • Title

    Empirical Analysis of the Rank Distribution of Relevant Documents in Web Search

  • Author

    Jiang, Shen ; Zilles, Sandra ; Holte, Robert

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB
  • Volume
    1
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    208
  • Lastpage
    213
  • Abstract
    This paper proposes an empirical approach for analyzing the rank distribution of relevant documents in Web search. From a methodological point of view a new transaction log analysis method is proposed; the relevance of documents is studied over transaction sessions rather than single transactions. From a practical point of view the paper provides insights about the actual rank distribution of relevant documents in Web search, with several consequences for the design of applications related to Web search.
  • Keywords
    Internet; document handling; search engines; Web search; rank distribution; relevant documents; transaction log analysis method; Clustering algorithms; Design methodology; Distributed computing; Intelligent agent; Probability distribution; Search engines; Search methods; Statistics; Web search; transaction log analysis;
  • 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.2008.200
  • Filename
    4740451
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2275917