• DocumentCode
    2346859
  • Title

    The Key Technology Research of Intelligent Information Syndication

  • Author

    Shang, Wenqian ; Wang, Tong ; Lv, Rui

  • Author_Institution
    Sch. of Comput., Commun. Univ. of China, Beijing, China
  • fYear
    2011
  • fDate
    15-19 April 2011
  • Firstpage
    865
  • Lastpage
    867
  • Abstract
    With the development of network, the online information has greatly enriched. It is increasingly difficult to obtain the desired information. The search engine can solve some problems, but far from satisfying people\´s needs. With the development of Web 2.0, RSS technology can solve some problems, greatly reducing spam, but as more and more channels appear, the user once again gets into the "information overload" situation. Therefore, in this paper, we use machine learning techniques and effective text classification techniques to solve the problem of information overload in a certain extent.
  • Keywords
    Internet; classification; learning (artificial intelligence); search engines; text analysis; RSS technology; Web 2.0; information overload situation; intelligent information syndication; key technology research; machine learning techniques; network development; online information; search engine; text classification techniques; Bayesian methods; Blogs; Google; Internet; Media; Text categorization; Training; Naïve Bayes classifier; RSS; information syndication; text classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-1-4244-9712-6
  • Electronic_ISBN
    978-0-7695-4335-2
  • Type

    conf

  • DOI
    10.1109/CSO.2011.275
  • Filename
    5957794