• DocumentCode
    3538817
  • Title

    Experts Ranking on the Enterprise Microblogging Based on the PageRank Algorithm

  • Author

    Ning Li ; Ke Ning ; LiangJie Zhang ; Yan Wang

  • Author_Institution
    Kingdee Res., Shenzhen, China
  • fYear
    2012
  • fDate
    6-8 Dec. 2012
  • Firstpage
    345
  • Lastpage
    349
  • Abstract
    With the rapid development of social networks services (SNS), Enterprise micro logging gradually shows its importance in business management. In the Enterprise Micro logging, If we can Accurately search and rank the experts, it can greatly enhance the operational rate of the Enterprise. In this article, Based on Google´s PageRank algorithm, combined with the labels of the expert on enterprise microblogging network, we can rank the experts in the enterprise microblogging network according to the influence of the expert. Therefore, we can improve the precision rate of the expert searching results for the user.
  • Keywords
    Web sites; business data processing; search engines; Google PageRank algorithm; SNS; business management; enterprise microblogging network; expert searching; experts ranking; social networks services; Business; Communities; Erbium; Google; Social network services; Vectors; Web pages; Enterprise microblogging; Expert ranking; PageRank algorithm; tag;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing Conference (APSCC), 2012 IEEE Asia-Pacific
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4673-4825-6
  • Type

    conf

  • DOI
    10.1109/APSCC.2012.47
  • Filename
    6478240