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2018年商務(wù)智能與數(shù)據(jù)科學(xué)

夏季學(xué)術(shù)研討會

（2018 Summer Workshop on Business Intelligence and Data Science）

時間：2018年7月7日

地點：九里校區(qū)信息樓0212室

主講人及講座內(nèi)容介紹：

1、廖少毅 教授，香港城市大學(xué)商學(xué)院資訊系統(tǒng)系。從事大數(shù)據(jù)分析、數(shù)據(jù)挖掘及智能信息系統(tǒng)開發(fā)研究，在智能醫(yī)療、互聯(lián)網(wǎng)金融、新能源汽車能源管理系統(tǒng)、車車通訊、車輛環(huán)境感知等方面的進(jìn)行了大量且廣泛的科研工作。廖少毅教授在國際重要學(xué)術(shù)刊物和會議上發(fā)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(xué)術(shù)刊物，其中SCI 收錄約60余篇，參編專著1部，并擔(dān)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(yīng)邀為香港運(yùn)輸署規(guī)劃設(shè)計香港ITS架構(gòu)與標(biāo)準(zhǔn)。近年，廖少毅教授作為課題負(fù)責(zé)人先后承擔(dān)了國家自然科學(xué)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(chuàng)新科技署、深圳市科技創(chuàng)新委員會有關(guān)車輛與環(huán)境交互通信技術(shù)、復(fù)合能源管理系統(tǒng)、智能駕駛與智能交通系統(tǒng)、智能機(jī)器人等多個科研項目，科技經(jīng)費(fèi)達(dá)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(xué)技術(shù)大學(xué)與香港城市大學(xué)信息系統(tǒng)專業(yè)聯(lián)合培養(yǎng)博士，曾任香港城市大學(xué)高級研究助理，現(xiàn)工作于騰訊財付通科技有限公司風(fēng)險管理部，擔(dān)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(quán)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(tǒng)國際會議上發(fā)表多篇學(xué)術(shù)文章。

摘要：移動支付面臨著反洗錢反欺詐等多方面的挑戰(zhàn)，本報告闡述移動支付的風(fēng)控系統(tǒng)架構(gòu)和技術(shù)框架，重點介紹機(jī)器學(xué)習(xí)算法和模型在金融監(jiān)管、輿情監(jiān)控、風(fēng)險識別中的應(yīng)用，包括特征工程、文本挖掘及社團(tuán)挖掘等算法介紹。并以打擊資金盤與高利貸團(tuán)伙為例剖析整個風(fēng)控流程。

5、 劉龍 博士，中國科學(xué)技術(shù)大學(xué)與香港城市大學(xué)信息系統(tǒng)專業(yè)聯(lián)合培養(yǎng)博士，電子科技大學(xué)政治與公共管理學(xué)院講師，研究方向為信息系統(tǒng)、智能交通、智慧城市。任職期間教授《城市交通規(guī)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(wù)在智慧城市中的作用研究》等學(xué)術(shù)研究項目。

6、任思捷 博士，在香港城市大學(xué)商學(xué)院資訊系統(tǒng)系取得博士學(xué)位，現(xiàn)任商湯研究院研究總監(jiān)，主要研究領(lǐng)域為計算機(jī)視覺，圖像處理與深度學(xué)習(xí)。他的多項研究成果發(fā)表在國際頂級計算機(jī)視覺和人工智能學(xué)術(shù)會議上，如ICML，NIPS，CVPR，AAAI，IJCAI等。他與他的團(tuán)隊研發(fā)的手機(jī)拍照算法被國內(nèi)知名手機(jī)廠商Oppo、Vivo等采用，直接影響了數(shù)千萬手機(jī)用戶的拍照體驗。

摘要：如今人工智能技術(shù)已經(jīng)深入到各行各業(yè)，與你我的生活息息相關(guān)。作為一家以研發(fā)人工智能核心技術(shù)為目標(biāo)的創(chuàng)業(yè)公司，商湯科技正向持續(xù)創(chuàng)新，賦能百業(yè)的愿景持續(xù)前進(jìn)。商湯的持續(xù)創(chuàng)新能力和產(chǎn)業(yè)賦能的技術(shù)在受到業(yè)內(nèi)伙伴肯定的同時也引起學(xué)界對此現(xiàn)象的興趣。本次講座站在一個從業(yè)者的角度向大家介紹人工智能創(chuàng)新的方方面面，為更好的理解人工智能創(chuàng)業(yè)，行業(yè)落地場景以及人工智能行業(yè)動態(tài)提供一手的線索。

注：商湯科技SenseTime是全球領(lǐng)先的人工智能平臺公司，同時也是“全球最具價值的AI創(chuàng)新企業(yè)”。以20年人工智能科研技術(shù)為積淀，并以“堅持原創(chuàng)，讓AI引領(lǐng)人類進(jìn)步”為使命，商湯科技建立了全球頂級、自主研發(fā)的深度學(xué)習(xí)超算中心，是亞洲最大的AI研發(fā)基地；在人臉識別、圖像識別、文本識別、醫(yī)療影像識別、視頻分析、無人駕駛等技術(shù)領(lǐng)域的創(chuàng)新成果，支撐了十多個垂直行業(yè)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?cè)谫Y額超過16億美元，估值超過45億美金，繼續(xù)保持全球總?cè)谫Y額最大、估值最高的人工智能獨角獸地位。商湯科技現(xiàn)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，匯集世界各地頂尖人才，合力打造一家世界一流的原創(chuàng)人工智能技術(shù)公司。中國“智”造，“慧”及全球。