• DocumentCode
    2961358
  • Title

    A P2P E-Commerce Model Based on Interest Community

  • Author

    Hai, Mo ; Tu, Yan

  • Author_Institution
    Sch. of Inf., Central Univ. of Finance & Econ., Beijing, China
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    362
  • Lastpage
    365
  • Abstract
    The challenging problem is how to store and search data efficiently when applying P2P technology in e-commerce. In order to solve this problem, we propose a P2P e-commerce model based on interest community, which manages each user´s data by use of interest community. Users with similar interests form an interest community. Interest communities will reorganize as any user´s interest has changed. Simulation results show this model has higher search efficiency and lower search cost compared with traditional keyword search algorithm.
  • Keywords
    electronic commerce; peer-to-peer computing; P2P e-commerce model; P2P technology; interest community; keyword search algorithm; search cost; search efficiency; Biological system modeling; Communities; Computational modeling; Keyword search; Peer to peer computing; Servers; Simulation; P2P; e-commerce; interest community; search cost; search efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of e-Commerce and e-Government (ICMeCG), 2010 Fourth International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8507-9
  • Type

    conf

  • DOI
    10.1109/ICMeCG.2010.80
  • Filename
    5628712