2018年商務智能與數據科學
夏季學術研讨會
（2018 Summer Workshop on Business Intelligence and Data Science）
時間：2018年7月7日
地點：九裡校區信息樓0212室
主講人及講座内容介紹：
1、廖少毅 教授，香港城市大學商學院資訊系統系。從事大數據分析、數據挖掘及智能信息系統開發研究，在智能醫療、互聯網金融、新能源汽車能源管理系統、車車通訊、車輛環境感知等方面的進行了大量且廣泛的科研工作。廖少毅教授在國際重要學術刊物和會議上發表論文100多篇，包括Communications of the ACM，MIS Quarterly, Journal of Management Information Systems, Decision Support Systems，IEEE transactions on ITS等頂級學術刊物，其中SCI 收錄約60餘篇，參編專著1部，并擔任國際期刊《Information & Management》的編輯，以及多個國際知名期刊的審稿人，并且應邀為香港運輸署規劃設計香港ITS架構與标準。近年，廖少毅教授作為課題負責人先後承擔了國家自然科學基金重點項目和中國科技部國家科技支撐計劃項目，以及香港創新科技署、深圳市科技創新委員會有關車輛與環境交互通信技術、複合能源管理系統、智能駕駛與智能交通系統、智能機器人等多個科研項目，科技經費達3600多萬元。
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(許景俊) 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、董偉 博士，中國科學技術大學與香港城市大學信息系統專業聯合培養博士，曾任香港城市大學高級研究助理，現工作于騰訊财付通科技有限公司風險管理部，擔任高級研究員，研究方向為文本挖掘與支付反欺詐。曾在國際權威期刊如Journal of Management Information Systems、European Journal of Operational Research、Journal of the Operational Research Society以及在AMCIS、PACIS等知名信息系統國際會議上發表多篇學術文章。
摘要：移動支付面臨着反洗錢反欺詐等多方面的挑戰，本報告闡述移動支付的風控系統架構和技術框架，重點介紹機器學習算法和模型在金融監管、輿情監控、風險識别中的應用，包括特征工程、文本挖掘及社團挖掘等算法介紹。并以打擊資金盤與高利貸團夥為例剖析整個風控流程。
5、 劉龍 博士，中國科學技術大學與香港城市大學信息系統專業聯合培養博士，電子科技大學政治與公共管理學院講師，研究方向為信息系統、智能交通、智慧城市。任職期間教授《城市交通規劃與管理》、《智慧城市工程》等課程，主持《基于位置和實時交通信息的個性化出行推薦服務在智慧城市中的作用研究》等學術研究項目。
6、任思捷 博士，在香港城市大學商學院資訊系統系取得博士學位，現任商湯研究院研究總監，主要研究領域為計算機視覺，圖像處理與深度學習。他的多項研究成果發表在國際頂級計算機視覺和人工智能學術會議上，如ICML，NIPS，CVPR，AAAI，IJCAI等。他與他的團隊研發的手機拍照算法被國内知名手機廠商Oppo、Vivo等采用，直接影響了數千萬手機用戶的拍照體驗。
摘要：如今人工智能技術已經深入到各行各業，與你我的生活息息相關。作為一家以研發人工智能核心技術為目标的創業公司，商湯科技正向持續創新，賦能百業的願景持續前進。商湯的持續創新能力和産業賦能的技術在受到業内夥伴肯定的同時也引起學界對此現象的興趣。本次講座站在一個從業者的角度向大家介紹人工智能創新的方方面面，為更好的理解人工智能創業，行業落地場景以及人工智能行業動态提供一手的線索。
注：商湯科技SenseTime是全球領先的人工智能平台公司，同時也是“全球最具價值的AI創新企業”。以20年人工智能科研技術為積澱，并以“堅持原創，讓AI引領人類進步”為使命，商湯科技建立了全球頂級、自主研發的深度學習超算中心，是亞洲最大的AI研發基地；在人臉識别、圖像識别、文本識别、醫療影像識别、視頻分析、無人駕駛等技術領域的創新成果，支撐了十多個垂直行業的AI變革。
2018年5月，商湯科技宣布完成6.2億美元C+輪融資，總融資額超過16億美元，估值超過45億美金，繼續保持全球總融資額最大、估值最高的人工智能獨角獸地位。商湯科技現已在香港、北京、深圳、上海、成都、杭州、日本京都、東京和新加坡成立分部，彙集世界各地頂尖人才，合力打造一家世界一流的原創人工智能技術公司。中國“智”造，“慧”及全球。
