• DocumentCode
    2205487
  • Title

    Clustering Blog Posts Using Tags and Relations in the Blogosphere

  • Author

    Zhang, Yin ; Gao, Kening ; Zhang, Bin ; Guo, Jinhua ; Gao, Feihang ; Guo, Pengwei

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Northeastern Univ., Shenyang, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    817
  • Lastpage
    820
  • Abstract
    Clustered Web pages, such as blog posts, could be used to improve Web search. In this paper, we propose a folksonomy extending framework using relations in the Blogosphere and demonstrate how the framework could be used to help clustering blog posts. We evaluate the framework by comparing it with content-based folksonomy extending approach. Experiment results show that the framework does help the clustering process.
  • Keywords
    Web sites; pattern clustering; search engines; Web search; blog posts; blogosphere; clustered web pages; clustering process; content-based folksonomy extending approach; Data mining; Educational institutions; Information science; Information services; Internet; Search engines; Web pages; Web search; Web sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.396
  • Filename
    5454433