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【学术报告】Online and Off the Web—Mining Online Data for Offline Behaviors

[发表时间]:2018-06-11 [来源]: [浏览次数]:

【信息学院学术报告】

讲座时间:  2018614日(周四)晚19 :00

讲座地点:  沙河校区 7号楼 115

: 赵慷  

讲座语言:  中英文

讲座摘要:

The web has revolutionized the way we interact with each other and with the world around us. Despite the increasing value of the cyberspace, what happens in the offline physical world is still very important. This talk will focus on studying individuals’ offline behaviors by mining their activities on the web. I will cover several of my studies related to this topic, including link predictions in online social networks, user behaviors in online health communities, and behavior diffusions in viral events.

主讲人简介:

Dr. Kang Zhao is an Assistant Professor of Management Sciences at the Tippie College of Business, The University of Iowa. He also has a joint appointment in Informatics. His current research focuses on business analytics, data science, and social computing, especially the mining, modeling, and simulation of social/business networks and social media. He has published more than 20 journal papers, and his research has been featured in public media from more than 25 countries, such as Washington Post, USA Today, Forbes, New York Public Radio, BBC, and Agence France-Presse. He also served as the Chair for INFORMS Artificial Intelligence Section 2014-2016.

该学术讲座由“中央财经大学专题学术讲座项目”资助。

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