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
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;
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
DOI :
10.1109/ICEBEG.2011.5882309