• DocumentCode
    2547556
  • Title

    A user survey on search ranking algorithm for social networking sites

  • Author

    Lee, Khuan Yew ; Hong, Jer Lang

  • Author_Institution
    Sch. of Comput. & IT, Taylor´´s Univ., Subang Jaya, Malaysia
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    995
  • Lastpage
    999
  • Abstract
    Social networks need to manage and control the drift of insane amount of information by filtering and ranking everything in order to ensure they are right there for users´ viewing pleasure. However, the realization of social networks ranking is currently dictated by fairly straightforward optimization algorithms. Hence, there is a need for a newly enhanced and improved ranking algorithm to be formulated since users have been occasionally seeing what they should not. In this paper, we conduct a user survey to gain a deeper insight on user needs for ranking algorithm. The outcome of the user survey is useful for the development of accurate and efficient ranking algorithm.
  • Keywords
    information filtering; information retrieval; optimisation; social networking (online); fairly straightforward optimization algorithms; information filtering; search ranking algorithm; social networking sites; Algorithm design and analysis; Collaboration; Educational institutions; Facebook; Feeds; Filtering; Search Ranking; Social Network; User Survey;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6234068
  • Filename
    6234068