• DocumentCode
    3335270
  • Title

    The research of network information filtering model based on genetic algorithm

  • Author

    Liu, Yuguo ; Zhu, Zhenfang ; Lina, Zhao

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Shandong Univ., Ji´´Nan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    928
  • Lastpage
    932
  • Abstract
    The technology of information filtering is the hotspot in current study. This paper analyses three models of information filtering: Boolean logical model, vector space model, latent semantic indexing model, and points out their defects.In order to purify the information of the Internet, this article introduces the genetic algorithm to the network information filtering system and establishes the network information filtering model based on genetic algorithm. At last it compares the network information filtering model based on genetic algorithm with the three commonly used models. Through the result of the experiments, it is easy to see that the information filtering model based on genetic algorithm is a predominant model.
  • Keywords
    Boolean functions; Internet; genetic algorithms; indexing; information filtering; Boolean logical model; Internet; genetic algorithm; latent semantic indexing model; network information filtering model; vector space model; Biological system modeling; Evolution (biology); Filtering algorithms; Genetic algorithms; Indexing; Information filtering; Information filters; Information retrieval; Internet; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-3928-7
  • Electronic_ISBN
    978-1-4244-3930-0
  • Type

    conf

  • DOI
    10.1109/ITIME.2009.5236208
  • Filename
    5236208