2018年商务智能与数据科学

夏季学术研讨会

（2018 Summer Workshop on Business Intelligence and Data Science）

时间：2018年7月7日

地点：九里校区信息楼0212室

主讲人及讲座内容介绍：

1、廖少毅 教授，香港城市大学商学院资讯系统系。从事大数据分析、数据挖掘及智能信息系统开发研究，在智能医疗、互联网金融、新能源汽车能源管理系统、车车通讯、车辆环境感知等方面的进行了大量且广泛的科研工作。廖少毅教授在国际重要学术刊物和会议上发表论文100多篇，包括Communications of the ACM，MIS Quarterly, Journal of Management Information Systems, Decision Support Systems，IEEE transactions on ITS等顶级学术刊物，其中SCI 收录约60余篇，参编专著1部，并担任国际期刊《Information & Management》的编辑，以及多个国际知名期刊的审稿人，并且应邀为香港运输署规划设计香港ITS架构与标准。近年，廖少毅教授作为课题负责人先后承担了国家自然科学基金重点项目和中国科技部国家科技支撑计划项目，以及香港创新科技署、深圳市科技创新委员会有关车辆与环境交互通信技术、复合能源管理系统、智能驾驶与智能交通系统、智能机器人等多个科研项目，科技经费达3600多万元。

2、Dr. Heng Tang(唐恒) received his Ph.D degree in the Department of Information Systems, City University of Hong Kong. He is currently an assistant professor at the department of Accounting and Information Management, University of Macau. His research interests are in the areas of Business Intelligence, Decision Support Systems, and Electronic Market. His research has appeared in journals such as Decision Support Systems, IEEE Transactions on System, Man and Cybernetics, Information Systems Frontiers, Journal of Information Science, Knowledge-based Systems, etc.

Abstract:Shopping cart abandonment (SCA) is the phenomenon whereby an online buyer places items into her virtual shopping cart but eventually chooses to abandon payment. This research relates SCA behavior to buyers’ uncertainty perceptions about both the seller and product. Building on the e-commerce literature, we identify seller uncertainty, description uncertainty, and performance uncertainty as the key antecedents of SCA and explore their relative influences on customers’ intention to finalize the transaction. Drawing upon uncertainty reduction theory (URT) from the communication literature, we theorize three communication capabilities—perceived effectiveness of product description (PEPD), perceived interactivity (PI), and perceived effectiveness of feedback systems (PEFS)—that facilitate passive, interactive, and active communication strategies, respectively. Anchored on the features of these strategies, we also discuss the relative effectiveness and boundary conditions for these capabilities in reducing different types of uncertainty perceptions. Survey data were collected from 237 online shoppers who were hesitating to check out items in their virtual shopping carts. The results provide support for our structural model and hypotheses in general, with a few interesting exceptions. We suggest a plausible explanation of these results and point out their implications for future research. Suggestions for e-commerce practices are also discussed.

3、Dr. David Xu(许景俊) is an associate professor in the Department of Information Systems at City University of Hong Kong. He received his Ph.D. in Management Information Systems from the University of British Columbia. Before joining City U, he was the associate professor of MIS and Bomhoff Endowed Professor of Business at Wichita State University in the United States. His research interests include human-computer interaction, recommendation systems, and social media. He has papers published or forthcoming in MIS Quarterly, Information Systems Research, Management Science, Journal of Management Information Systems, Journal of AIS, Journal of Strategic Information Systems, Journal of Business Ethics, Information & Management, Decision Support Systems, Computers in Human Behavior, Communication of AIS, and Journal of Computer Information Systems. In 2018, he is ranked the 3rd most productive (straight count, tie) information systems (IS) scholar worldwide for publishing in the top-4 IS journals between 2011-2017, according to the Association for Information Systems (AIS).

Abstract: We draw upon and extend the model of product uncertainty to theorize how the convergence of the recommendations of different sources operate in a complementary fashion to influence customers’ acceptance of recommendations. We test our theory by conducting two experiments with a search product. The first experiment validated the product uncertainty dimensions that each source can best reduce, whereas the second experiment manipulated the recommendations of three different sources, such that the treatment conditions varied in terms of their degree of convergence with the recommendations of other available sources. The acceptance of the convergent recommendations is not a function of the number of sources that converge with one another, but rather a function of the number of product dimensions of product uncertainty that these sources can collectively reduce. Our study advances the information signaling literature by revealing which signal consistency of recommendation sources has the greatest effect. Online merchants are advised to incorporate multiple sources into their websites.

4、董伟 博士，中国科学技术大学与香港城市大学信息系统专业联合培养博士，曾任香港城市大学高级研究助理，现工作于腾讯财付通科技有限公司风险管理部，担任高级研究员，研究方向为文本挖掘与支付反欺诈。曾在国际权威期刊如Journal of Management Information Systems、European Journal of Operational Research、Journal of the Operational Research Society以及在AMCIS、PACIS等知名信息系统国际会议上发表多篇学术文章。

摘要：移动支付面临着反洗钱反欺诈等多方面的挑战，本报告阐述移动支付的风控系统架构和技术框架，重点介绍机器学习算法和模型在金融监管、舆情监控、风险识别中的应用，包括特征工程、文本挖掘及社团挖掘等算法介绍。并以打击资金盘与高利贷团伙为例剖析整个风控流程。

5、 刘龙 博士，中国科学技术大学与香港城市大学信息系统专业联合培养博士，电子科技大学政治与公共管理学院讲师，研究方向为信息系统、智能交通、智慧城市。任职期间教授《城市交通规划与管理》、《智慧城市工程》等课程，主持《基于位置和实时交通信息的个性化出行推荐服务在智慧城市中的作用研究》等学术研究项目。

6、任思捷 博士，在香港城市大学商学院资讯系统系取得博士学位，现任商汤研究院研究总监，主要研究领域为计算机视觉，图像处理与深度学习。他的多项研究成果发表在国际顶级计算机视觉和人工智能学术会议上，如ICML，NIPS，CVPR，AAAI，IJCAI等。他与他的团队研发的手机拍照算法被国内知名手机厂商Oppo、Vivo等采用，直接影响了数千万手机用户的拍照体验。

摘要：如今人工智能技术已经深入到各行各业，与你我的生活息息相关。作为一家以研发人工智能核心技术为目标的创业公司，商汤科技正向持续创新，赋能百业的愿景持续前进。商汤的持续创新能力和产业赋能的技术在受到业内伙伴肯定的同时也引起学界对此现象的兴趣。本次讲座站在一个从业者的角度向大家介绍人工智能创新的方方面面，为更好的理解人工智能创业，行业落地场景以及人工智能行业动态提供一手的线索。

注：商汤科技SenseTime是全球领先的人工智能平台公司，同时也是“全球最具价值的AI创新企业”。以20年人工智能科研技术为积淀，并以“坚持原创，让AI引领人类进步”为使命，商汤科技建立了全球顶级、自主研发的深度学习超算中心，是亚洲最大的AI研发基地；在人脸识别、图像识别、文本识别、医疗影像识别、视频分析、无人驾驶等技术领域的创新成果，支撑了十多个垂直行业的AI变革。

2018年5月，商汤科技宣布完成6.2亿美元C+轮融资，总融资额超过16亿美元，估值超过45亿美金，继续保持全球总融资额最大、估值最高的人工智能独角兽地位。商汤科技现已在香港、北京、深圳、上海、成都、杭州、日本京都、东京和新加坡成立分部，汇集世界各地顶尖人才，合力打造一家世界一流的原创人工智能技术公司。中国“智”造，“慧”及全球。