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Time (US EST)
DATE: August 15th EST
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11:00am - 11:10am
Welcome Remarks
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11:10am - 12:20pmKeynote talk part I (15min + 2 min Q&A)Discovering "Product Gaps" in the Market using Big Data Alex Burnap (Yale University)
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Job2Vec: Learning a Representation of JobsDaniel Rock (Wharton)
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How large language models can disrupt e-commerceKarthik Raman (Google Research)
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InnoVAE: Generative AI for Understanding Patents and InnovationDokyun “DK” Lee (Boston University)
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12:20pm - 12:30pm
BREAK
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12:30pm - 1:30 pmOral presentation part I (12min + 2min Q&A)
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Adaptive Preference Measurement for Unstructured Data, with Applications to Customer OnboardingRyan Dew (The Wharton School, University of Pennsylvania)*
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How Artificial Intelligence Technologies Complement Transformational LeadersNan Jia (University of Southern California)*; Xueming Luo (Temple University); Zheng Fang (Sichuan University); Bo Xu (Fudan University)
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Deep Causal Inequalities: Demand Estimation in Differentiated Products MarketsAmandeep Singh (The Wharton School)*; Edvard Bakhitov (University of Pennsylvania); Jiding Zhang (The Wharton School)
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Intellige: A User-Facing Model Explainer for Narrative ExplanationsJilei Yang (LinkedIn Corporation)*; Diana Negoescu (LinkedIn Corporation); Parvez Ahammad (LinkedIn Corporation)
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1:30 pm - 1:40 pm
BREAK
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1:40 pm - 2:40 pmOral presentation part II (12min + 2min Q&A)Video Influencers: Unboxing the MystiquePrashant Rajaram (University of Michigan)*; Puneet Manchanda (University of Michigan)
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Calibrating Sales Forecast in a Pandemic Using Competitive Online Non-Parametric RegressionDavid Simchi-Levi (MIT); Rui Sun (Massachusetts Institute of Technology); Michelle Wu (MIT); Ruihao Zhu (MIT)*
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Uncovering The Source of Machine BiasXiyang Hu (Carnegie Mellon University)*; Yan Huang (Carnegie Mellon University); Beibei Li (Carnegie Mellon University); Tian Lu (Carnegie Mellon University)
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Optimal Price TargetingAdam Smith (UCL School of Management); Stephan Seiler (Imperial College Business School); Ishant Aggarwal (Lloyds Bank)
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2:40 pm - 2:50 pm
BREAK
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2:50pm - 3:50pmKeynote talk part II (15min + 2 min Q&A)Temporal Contextual Recommendation in Real-TimeYifei Ma (AWS AI)
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Campaign Autopilot - Towards automatic management of B2C campaignsGang Wu (Adobe Research)
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Consumer Behavior in the Online Classroom: Using Video Analytics and Machine Learning to Understand the Consumption of Video CoursewareMi Zhou (University of British Columbia)
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3:50 pm - 4:00 pm
BREAK
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4:00 - 5:00 pmPosters highlight session (strcit 3 min)Predicting Stages in the Consumer Path-Purchase Journey: An Omnichannel Deep-Learning ModelChenshuo Sun (NYU )*; Panos adamopoulos (Emory); Anindya Ghose (New York University); Xueming Luo (Temple University)1
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Stock Movement Prediction via Normalizing FlowFan Zhou (School of Information and Software Engineering, University of Electronic Science and Technology of China); Shupei Chen (University of Electronic Science and Technology of China)*; Yuhua Mo (School of Information and Software Engineering, University of Electronic Science and Technology of China); Jin Wu (School of Information and Software Engneering, University of Electronic Science and Technology of China); YI YANG (Hong Kong University of Science and Technology)2
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Estimating Heterogeneous Treatment Effect of Product RecommendationsXIANG WAN (University of Florida)*; ANUJ KUMAR (University of Florida); HALDUN AYTUG (University of Florida)3
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Community Gifting and Recipients’ Engagement with Peers and Influencers: A Natural Experiment of Live Streaming PlatformYang Wang (Temple University); Alexander Chaudhry (Southern Utah University); Erya Ouyang (temple University)*; Xueming Luo (Temple University)4
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The Building and Milking Cycle of Reputation: Using Reinforcement Learning to Optimize Influencers’ Content Posting Decisions on YouTubeMengjie Cheng (Harvard University); Shunyuan Zhang (Harvard University)*5
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Towards Wiser Funding Allocation with Bayesian NetworksJing Chen (University of Louisiana at Lafayette ); Yi He (Old Dominion University)*; Vijay Raghavan (University of Louisiana at Lafayette)6
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A Recurrent Marked Point Process Approach to Capturing Behavioral Dynamics in Video GamesZisu Wang (University of Arizona)*; Junming Yin (University of Arizona)7
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Neural recommender system considering user homogeneityNohYoon Seong (College of Business, KAIST)*; KiHwan Nam (Dongguk University)8
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Off-Policy Evaluation with General Logging PoliciesYusuke Narita (Yale University); Kyohei Okumura (Northwestern University); Akihiro Shimizu (Mercari); Kohei Yata (Yale University)*9
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When to Target Customers? Retention Management using Dynamic Off-Policy Policy LearningKosuke Uetake (Yale School of Management)*; Kohei Yata (Yale University)10
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The Detrimental Effects of Brand Activism (Black Lives Matter) on Consumer Following and Liking Social Media: A Natural ExperimentMarco Shaojun Qin (temple university), Yang Wang (temple university), Xueming Luo (temple university), Yu Kou (temple university)*11
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Your Voice Matters! Impact of Speech Features on Effectiveness of Marketing CommunicationJingjing Li (University of Virginia); Qi Zhang (Fudan University); Cheng Zhang (Fudan University); Natasha Z Foutz (University of Virginia)*12
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Combining Markov Decision Processes with Decision Trees For Semi-Automatic State Identification Applied to Cyber Maintenance for Business SavingQiwei Yang (the Ohio State University)*; Theodore Allen (he Ohio State University); Gagan Agrawal (Augusta); Dr. Rajiv Ramnath (OSU)13
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Personalized Compatibility Metric LearningMeet Taraviya (Amazon), Anurag Beniwal (Amazon), Yen-Liang Lin (Amazon), Larry Davis (Amazon)14
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An automated cost saving tool for detection of infants withcrampedsynchronized general movements combining sensor fabrictechnology, deep learning and a pragmatic interfaceQiwei Yang (the Ohio State University)*; Theodore Allen (the Ohio State University); Ping Zhang (Ohio State University); Dr. Rajiv Ramnath (OSU)15
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Deep learning for simulation-based Bayesian inference of hidden parameters in online reputation systemsShrabastee Banerjee (Tilburg University)*; Narendra Mukherjee (Tripadvisor LLC); M. Amin Rahimian (University of Pittsburgh, Dept. of Industrial Engineering)16
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5:00 PMClosing Remarks
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5:00- 6:00pmGather.town Virtual Poster Session
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