• DocumentCode
    249148
  • Title

    Improving ranking of webpages using user behaviour, a Genetic algorithm approach

  • Author

    Sameer, Venkata Udaya ; Balabantaray, Rakesh Chandra

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Anil Neerukonda Inst. of Technol. & Sci., Visakhapatnam, India
  • fYear
    2014
  • fDate
    19-20 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Information retrieval has taken an important turn when the researchers started using user behavior to improve their ranking algorithms. With the advent of user behavior in information retrieval, the interactive information retrieval is beginning to make its mark. In this paper we discuss how user behavior is being used in information retrieval. We survey various strategies used for incorporating user behavior into information retrieval. A Genetic Algorithm is used in this paper to improve the average MAP score and ultimately a Select Best Ones (SBO) principle is used to arrive at the final ranking.
  • Keywords
    Internet; genetic algorithms; human factors; information retrieval; interactive systems; Web page ranking; average MAP score; genetic algorithm; interactive information retrieval; mean average precision; select best ones principle; user behaviour; Biological cells; Buildings; Computer science; Genetic algorithms; Search engines; Web search; Information retrieval; SBO; Userbehavior; click through data; relevance Genetic Algorithm; search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks & Soft Computing (ICNSC), 2014 First International Conference on
  • Conference_Location
    Guntur
  • Print_ISBN
    978-1-4799-3485-0
  • Type

    conf

  • DOI
    10.1109/CNSC.2014.6906674
  • Filename
    6906674