• DocumentCode
    2079882
  • Title

    MASS: a multi-facet domain-specific influential blogger mining system

  • Author

    Cai, Yichuan ; Chen, Yi

  • Author_Institution
    Arizona State Univ., Tempe, AZ, USA
  • fYear
    2010
  • fDate
    1-6 March 2010
  • Firstpage
    1109
  • Lastpage
    1112
  • Abstract
    With rapid development of web 2.0 technology and e-business, bloggers play significant roles in the blogosphere as well as the external world. In particular, influential bloggers can bring great business values to modern enterprise. Despite that several systems for mining influential bloggers are available, they measure the influence of bloggers in general rather than domain specific, which is not applicable for real application requirements, such as business advertisement, personalized recommendation and so on. In this paper, we propose an effective model to mine the top-k influential bloggers according to their interest domains, the impact and attitude of the comments to their posts, as well as their authority in the network of page links. In this demonstration, we present MASS, an effective system for mining influential bloggers. We will present the techniques in MASS, its experimental evaluation, as well as its applications.
  • Keywords
    Internet; data mining; MASS; Web 2.0 technology; blogosphere; e-business; interest domains; multifacet domain specific influential blogger mining system; top-k influential blogger;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering (ICDE), 2010 IEEE 26th International Conference on
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    978-1-4244-5445-7
  • Electronic_ISBN
    978-1-4244-5444-0
  • Type

    conf

  • DOI
    10.1109/ICDE.2010.5447798
  • Filename
    5447798