• DocumentCode
    476821
  • Title

    Optimization of e-business social network mapping using genetic algorithm

  • Author

    Ibrahim, Siti Nurkhadijah Aishah ; Selamat, Ali ; Selamat, Md Hafiz

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Skudai
  • Volume
    3
  • fYear
    2008
  • fDate
    26-28 Aug. 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper, we present the optimization of e-business social network visualization using genetic algorithm (GA). Basically, it is important to visualize the map of the Internet searching because it helps user to better understand how and why they interact with each other. It is also helps them to search information in a very fast way and more related to their searched. Furthermore, the result returns by the conventional search engine sometimes are not relevant to the user search. Here, we proposed the query optimization search system based on genetic algorithm (GA) to solve this problem and visualize the connection between them. Experiment results demonstrate that it is very effective to improve the search of the relevant Web pages using the genetic algorithm.
  • Keywords
    Internet; electronic commerce; genetic algorithms; query processing; search engines; social networking (online); Internet search; Web pages; e-business social network mapping; genetic algorithm; query optimization search system; search engine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, 2008. ITSim 2008. International Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-2327-9
  • Electronic_ISBN
    978-1-4244-2328-6
  • Type

    conf

  • DOI
    10.1109/ITSIM.2008.4632056
  • Filename
    4632056