• DocumentCode
    3234220
  • Title

    The research of PSO algorithm in web information filtering

  • Author

    Cheng, Xiaorong ; Wang, Dong ; Xie, Kun

  • Author_Institution
    Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding, China
  • fYear
    2009
  • fDate
    25-28 July 2009
  • Firstpage
    1288
  • Lastpage
    1291
  • Abstract
    With the development of information technology and the popularization of the Internet, the amount of information based on the network has raised rapidly, and the emergence and development of network information filtering provide a better choice for people to access to the information quickly, accurately and completely. In this paper, the introduction of PSO uses its simple and efficient to establish accurate user model. It takes the access and update of profile as a process of learning, adjusted, learning again. Model is updated under considering inertia weight, parameters and other factors. Then doing some experiments test it.
  • Keywords
    Internet; information filtering; particle swarm optimisation; Internet; Web information filtering; inertia weight; information technology; particle swarm optimisation; Birds; Computer science; Contamination; Filtering algorithms; IP networks; Information filtering; Information filters; Information retrieval; Information technology; Iterative algorithms; PSO algorithm; icnformation filtering; inertia weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-3520-3
  • Electronic_ISBN
    978-1-4244-3521-0
  • Type

    conf

  • DOI
    10.1109/ICCSE.2009.5228412
  • Filename
    5228412