• DocumentCode
    2571380
  • Title

    A novel model and algorithm for discovering the potential Web communities based on tensor decomposition

  • Author

    Hongli, Yang ; Guoping, He ; Yongshan, Wei

  • Author_Institution
    Sci. Coll., Shandong Univ. of Sci. & Technol., Qingdao
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    5189
  • Lastpage
    5194
  • Abstract
    Based on the analysis of the typical models and algorithms for the discovering the latent Web communities, we give a novel model and its algorithm using tensor CP decomposition for discovering the latent Web communities. The model considers three signatures of the Web pages, which adds a text score of the Web page except for the authority score and hub score. We also present an iteration algorithm for tensor decomposition. Experiment tests show that our model and algorithm are effective.
  • Keywords
    Web sites; graph theory; tensors; Web communities; Web pages; authority score; hub score; tensor decomposition; text score; Tensile stress; Model and Algorithm; Numerical Experiment; Tensor CP Decomposition; Text; Web Community;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4598320
  • Filename
    4598320