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北京第二外國語學院旅管理學院研究生導師：鄧寧
北京第二外國語學院旅管理學院研究生導師鄧寧介紹如下：
鄧寧 博士
旅游電子商務系主任
北二外旅游大數據研究中心 執行主任
Ning Deng, Ph.D., is an assistant professor at the Beijing International Studies University, School of Tourism Management. He is also dean of the department of tourism ecommerce and marketing, and the excutive director of the research center for tourism bigdata in BISU. His research interests is destination marketing, with the focus on data mining of User-Generated Content (UGC) and information technology applications in tourism. Ning’s research findings have appeared on several top-tier tourism journals. Before joining BISU, Ning earned his Ph.D. of computer science from Beijing Institute of Technology, and joined Lenovo as a staff researcher for two years.
Teaching:
Bechelor: Python programming basics, Internet product desgin, Internet product operations.
Master: Data mining for tourism research.
Research Projects:
The construction and estimation of a quantitative projective model. for travel image in new media context. National Natural Science Foundation of China（NSFC）（71502005）, 2016-2018.
Oversea‘s image prevision projection of Beijing Winter Olympics based on UGC bigdata. Funded by Philosophy and Social Science Foundation of Beijing. （17JDGLB006）, 2017-2018.
Beijing oversea’s image projectoin model based on UGC photos. Funded by Beijing Municipal Education Commission (SQKM201710031001）, 2017-2018.
Zhongyu—an attraction tourists’ experience evaluation platform based on OTA online reviews.
Latest Publications:
Ning Deng, Lina Zhong, Hong Li. Perception of Travel Destination Image based on User-generated Photograph Metadata: the Case of Beijing. Tourism Tribune. 旅游學刊.
Ning Deng. PMMS—A general Photo-based Metadata Mining System for tourism research. (Tourism and Hospitality Prospects，旅游導刊)
Ning Deng, Xiang (Robert) Li. Feeling a Destination through the “Right” Photos: A Machine Learning Model for DMOs’ Photo Selection. Tourism Management.
Online: https://authors.elsevier.com/a/1V-uMxTbMf6hr
Ning Deng, Xiang (Robert) Li. Destination advertising in a smarter way A machine learning model. TTRA 2017, Quebec, Canada. (Presentation and Poster)
Personal:
Basketball, drving, travelling, music…
Contact: Email: dunning@126.com
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