• DocumentCode
    1651182
  • Title

    An prediction study on the visitors per-day amount of Shanghai World Expo2010 based on web search data

  • Author

    Geng, Peng ; Qingyu, Yuan ; Ying, Liu ; Benfu, Lv

  • Author_Institution
    Management School Management School of Graduate University, CAS Beijing, China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The web search data, which recorded hundreds of millions searchers´ concerns and interests, reflected the trends of their behavior and provided essential data basis for the prediction study of the visitors per-day amount of Shanghai World Expo2010. This paper firstly analyzes the correlation between web search data and the visitors´ amount per-day of Shanghai World Expo2010, and then builds a conceptual model to analyze the web search data and the trip of visiting Expo2010. On the basis of this, the paper checks the co-integration relationship between web search data and the visitors´ per-day amount of Shanghai World Expo2010, and predicts the visitors´ amount of seven days.
  • Keywords
    Computational modeling; Data models; Educational institutions; Google; Predictive models; Solid modeling; Web search; Prediction; Search Data; Shanghai World Expo2010; Visitors Amount;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E -Business and E -Government (ICEE), 2011 International Conference on
  • Conference_Location
    Shanghai, China
  • Print_ISBN
    978-1-4244-8691-5
  • Type

    conf

  • DOI
    10.1109/ICEBEG.2011.5882309
  • Filename
    5882309