• DocumentCode
    2904838
  • Title

    A Knowledge Recommendation Algorithm Based on Content Syndication

  • Author

    Zhao, Wenzhao ; Wang, Jun ; Liu, Guannan

  • Author_Institution
    Dept. of Inf. Syst., Beihang Univ., Beijing, China
  • fYear
    2009
  • fDate
    24-26 Nov. 2009
  • Firstpage
    742
  • Lastpage
    745
  • Abstract
    Effective knowledge sharing and its fast spread play an important role in realizing knowledge management in an organization. The deficiency of existing knowledge sharing technological measures restrict the spread of knowledge and its efficiency, thus users have to spend large amount of time to search all kinds of knowledge they need. This study proposes a knowledge recommendation algorithm to improve the efficiency and accuracy of finding and locating knowledge source through search engine. We first define a content syndication based knowledge sharing network, and then we propose a knowledge recommendation algorithm based on content syndication in knowledge sharing network. This algorithm combines the relationship between users with their search history to carry out knowledge recommendation and has both theoretical and practical value.
  • Keywords
    knowledge management; recommender systems; search engines; content syndication; knowledge management; knowledge recommendation algorithm; knowledge sharing; search engine; Collaboration; History; Information filtering; Information filters; Information technology; Knowledge management; Management information systems; Search engines; Social network services; Time measurement; Algorithm of Knowledge Recommendation; Content Syndication; Knowledge Sharing; Relationship; Social Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-5244-6
  • Electronic_ISBN
    978-0-7695-3896-9
  • Type

    conf

  • DOI
    10.1109/ICCIT.2009.153
  • Filename
    5368718