INFORMS Revenue Management and Pricing Section Conference
June 28-30, 2021
The Johns Hopkins Carey Business School is excited to host the 20th Annual INFORMS Revenue Management and Pricing (RM&P) Section Conference this summer.
This event, which will be held virtually, is the premier forum for both academics and practitioners who are active in research and application in the fields of pricing analytics and revenue management.
Taking into account the feedback from our community members and the RMP Board, the 2021 RM&P Virtual Conference will be remote and live. We will share the Zoom links for the conference events with registrants as we get closer to the date. All speakers are expected to deliver their talks live, followed by live Q&A. Any speakers that are concerned about Internet connection or other technical issues may pre-record their presentations, and session chairs will play recordings live in case there is a problem.
Spotlight papers and abstracts
If you need help with questions related to registration or abstract submission, please contact Cassie McKay: cmckay@informs.org
If you need help with questions related to Zoom access, please contact Sarah Tyc: styc2@jhu.edu
For regular members of INFORMS and RMP Section: Early Registration — $50; Late Registration — $60
For student members of INFORMS and RMP Section: Early Registration — $45; Late Registration — $55
Registration deadline for speakers/early registration deadline is May 31, 2021.
The deadline for all others is June 21, 2021.
Abstract Submission
To ensure the inclusion of more speakers, each attendee is limited to a maximum of one submission as a presenting author although they may co-author more than one submission.
In addition to general sessions, the conference will have “Spotlight Sessions,” in which selected speakers will present their full papers and invited discussants will comment subsequently.
For general sessions, please submit an abstract that should not exceed 2500 characters – approximately one page.
If you would like to be considered for a spotlight session, please submit a full paper that should not exceed 32 pages with 33 lines of text per page (1.5 spacing) and comply with Management Science formatting standard.
Abstract/full paper submission deadline is May 3, 2021.
Notification of acceptance for abstract submissions will be May 10, 2021.
Keynote
The conference will feature two keynote speakers in a joint session.
Conference Co-Chairs
- Goker Aydin, PhD, Johns Hopkins Carey Business School
- Ozge Sahin, PhD, Johns Hopkins Carey Business School
Ruxian Wang, PhD, Johns Hopkins Carey Business School
June 28, 2021 Schedule (all times are US Eastern Time) |
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8:45 – 9:00 a.m. |
Welcome | |||
| 9:00 – 10:00 a.m. Technical Session |
Session MA01 Multiproduct Dynamic Pricing with Discrete Price Sets, Seetharama Chandrasekhar Manchiraju, Milind Dawande, and Ganesh Janakiraman An Approximate Dynamic Programming Approach for Joint Overbooking and Capacity Control Decisions in Single-leg Air Cargo Revenue Management, Dhandabani Srinivasan, R K Amit, Atul Kumar Malik, and Shao Hung Goh Dynamic Pricing and Incentive Design in The Airline Industry, Ruiting Zuo, Tinglong Dai, Jussi Keppo |
Session MA02 Position Auctions with Endogenous Product Information: Why Live-streaming Advertising Is Thriving, Ying-Ju Chen, Guillermo Gallego, Pin Gao, and Yang Li Marketplace Expansion at All Costs: Be Careful of Whom You Invite To Join, Wenchang Zhang, Wedad Jasmine Elmaghraby, and Ashish Kabra Posted Price versus Auction Mechanisms in Freight Transportation Marketplaces, Sungwoo Kim, Xuan Wang, and He Wang |
Session MA03 Omnichannel Assortment Optimization with Two-stage Decisions, Venus Lo Assortment and Price Optimization Under the Threshold Utility Model, Guillermo Gallego, Zhuodong Tang, and Ruxian Wang Assortment Optimization under Heteroscedastic Data, Zeyu Sun, Xiaobo Li, Selin Ahipasaoglu, and Yiliang Yuan |
Session MA04 Satisfying Search and Algorithmic Price Competition, Chamsi Hssaine, Vijay Kamble, and Siddhartha Banerjee Price Delegation with Learning Agents, Atalay Atasu, Dragos Florin Ciocan, and Antoine Desir To Interfere or Not To Interfere: Information Revelation And Price-setting Incentives in A Multiagent Learning Environment, Hongfan Chen, John R. Birge, N. Bora Keskin, and Amy R. Ward |
| 10:00 – 10:15 a.m. | Break | |||
| 10:15 – 11:15 a.m. | Keynote: Guillermo Gallego and Garrett J. van Ryzin | |||
| 11:15 – 11:30 a.m. | Break | |||
| 11:30 a.m. – 12:30 p.m. Technical Session |
Session MB01 Loot Box Pricing and Design, Ningyuan Chen, Adam Elmachtoub, Michael L. Hamilton, and Xiao Lei Simultaneous or Delayed: New-movie Release Time on Over-The-Top Platforms, Soumyakanti Chakraborty, Sumanta Basu, Indranil Bose, Megha Sharma, and Raunak Joshi Revenue-Sharing Allocation Strategies for Two-Sided Media Platforms: Pro-Rata versus User-Centric, Saeed Alaei, Ali Makhdoumi, Azarakhsh Malekian, and Sasa Pekec |
Session MB02 Optimal Assortment and Pricing Decisions for Vertically Differentiated Products, Prasenjit Mandal, Krishanu Rakshit, and Mrinmay Deb Multiproduct Dynamic Pricing with Menu Costs: Impulsive Control, Dual Bounds, and Heuristics, Zhen Liu Multiproduct Pricing: A Spectral Theory Approach, Alper Nakkas |
Session MB03 RMP Data-Driven Research Challenge Toward a Thriving Two-Sided Ecosystem: The Ripple Effect of User Reactions on Content Creation, Zining Wang and Yanwen Wang Riding the Gravy 'Trend'? Bandwagon Effect vs. Conspicuous Adoption of Music in User-Generated Content, Abhishek Deshmane and Xabier Barriola Churning while Learning: Maximizing User Engagement in a Recommendation System, Michael L. Hamilton and Raghav Singal Adaptive Data Acquisition for Personalized Recommender Systems with Optimality Guarantees on Short-Form Video Platforms, Junyu Cao and Yan Leng |
Session MB04 Social Nudges Boost Content Production on Online Platforms: Field Experiments and Network Modeling, Zhiyu Zeng Misinformation in Online News, Jiding Zhang, Ken Moon, and Senthil Veeraraghavan Countering Congestion in Online Marketplaces: Evidence from a Quasi-experiment, Ashish Kabra and Jun Li |
| 12:30 – 1:30 p.m. | Break | |||
| 1:30 – 3:00 p.m. Spotlight Session |
Spotlight Session 1 Optimal Pricing with a Single Point, Achraf Bahamou, Omar Besbes, and Amine Allouah—Discussant: Rene Caldentey Data-driven Clustering and Feature-based Retail Electricity Pricing with Smart Meters, N. Bora Keskin, Yuexing Li, and Nur Sunar—Discussant: Srikanth Jagabathula |
Spotlight Session 2 Price Discrimination with Fairness Constraints, Maxime Cohen, Adam Elmachtoub, and Xiao Lei—Discussant: Vivek Farias Fair Dynamic Rationing, Vahideh Manshadi, Rad Niazadeh, and Scott Rodilitz—Discussant: Kostas Bimpikis |
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| 3:00 – 3:15 p.m. | Break | |||
| 3:15 – 4:15 p.m. Technical Session |
Session MC01 A Multinomial Logit Recommendation Model for Two-sided Choice, Yunhao Yan, Jingtong Zhao, and Van-Anh Truong Joint Assortment Optimization and Customization Under a Mixture of Multinomial Logit Models: On the Value of Personalized Assortments, Omar El Housni and Huseyin Topaloglu Choice Modeling and Assortment Optimization in the Presence of Context Effects, Reza Yousefi Maragheh, Xin Chen, James Mario Davis, and Jason Cho |
Session MC02 Diamonds in the Rough: Leveraging Click Data To Spotlight Underrated Products, Sajad Modaresi, Seyedmorteza Emadi, and Vinayak Deshpande Inventory Record Inaccuracy Explains Price Rigidity in Perishable Groceries, Naveed Chehrazi, Robert E. Sanders, and Ioannis Stamatopoulos Contingent Free Shipping: Drivers of Bubble Purchases, Sahar Hemmati, Wedad Elmaghraby, Ashish Kabra, and Nitish Jain |
Session MC03 Online Resource Allocation with Time-flexible Customers, Negin Golrezaei and Evan Yao Thompson Sampling in Vaccine Trial, Han Wu and Stefan Wager Chasing Convex Bodies Optimally, Mark Sellke |
Session MC04 Data-driven Newsvendor: Optimal Performance Across Data Sizes, Omar Besbes and Omar Mouchtaki Sharing Newsboys, Setareh Farajollahzadeh and Ming Hu Leveraging the Newsvendor for Inventory Distribution at a Large Fashion E-retailer with Depth and Capacity Constraints, Georgia Perakis, Divya Singhvi, and Ioannis Spantidakis |
| 4:15 – 4:30 p.m. | Break | |||
| 4:30 – 5:50 p.m. Technical Session |
Session MD01 Dynamic Dispatch and Centralized Relocation of Cars in Ride-hailing Platforms, Baris Ata, Nasser Barjesteh, and Sunil Kumar Operating Three-sided Marketplaces: Pricing, Spatial Staffing and Routing in Food Delivery Systems, Zhe Liu Courier Dispatch in On-demand Delivery, Mingliu Chen and Ming Hu The Structural Behavioral Model of Gig Economy Workers, Gad Allon, Maxime Cohen, Kenneth Moon, and Park Sinchaisri |
Session MD02 Assortment Optimization under The Decision Forest Model, Yi-Chun Chen and Velibor Misic Model-free Assortment Pricing with Transaction Data, Ningyuan Chen, Andre Augusto Cire, Ming Hu, and Saman Lagzi Motem: Method for Optimizing Over Tree Ensemble Models, Setareh Borjian, Kiran V. Panchamgam, Georgia Perakis, Leann Thayaparan Asymptotically Optimal Competitive Ratio for Online Allocation of Reusable Resources, Vineet Goyal, Garud N. Iyengar, and Rajan Udwani |
Session MD03 Fair Exploration via Axiomatic Bargaining, Jackie Baek and Vivek F. Farias Batching and Optimal Multi-stage Bipartite Allocations, Rad Niazadeh and Yiding Feng Dropping Standardized Testing for Admissions: Differential Variance and Access, Nikhil Garg, Hannah Li, and Faidra Monachou In Which Random Matching Markets Does the Short Side Enjoy an Advantage? Yash Kanoria, Seungki Min, and Pengyu Qian |
Session MD04 Word Embeddings for New Domains Via Group-Sparse Transfer Learning, Kan Xu, Xuanyi Zhao, Hamsa Sridhar Bastani, and Osbert Bastani Smoothness-Adaptive Contextual Bandits, Ahmadreza Momeni, Yonatan Gur, and Stefan Wager Learning Across a Network of Bandits, Kan Xu and Hamsa Sridhar Bastani Optimal Learning for Structured Bandits, Negin Golrezaei and Bart Paul Gerard Van Parys |
June 29, 2021 Schedule (all times are US Eastern Time) | ||||
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| 8:45 – 9:00 a.m. | Welcome | |||
| 9:00 – 10:00 a.m. Technical Session | Session TA01 Incentive-Compatible Assortment Optimization, Santiago Balseiro and Antoine Desir Mechanism Design for Workforce Scheduling in On-demand Transportation, Omar Besbes, Vineet Goyal, Garud N. Iyengar, and Raghav Singal Bundle Recommendation and Pricing: A Simple Mechanism and Its Optimization, Hailong Sun | Session TA02 Monetization of Loyalty Digital Currency: Mental Accounting and Income Effects on Spending, Freddy Lim, So Yeon Chun, Ville Satopaa Machine Learning-based Alerting Mechanism for Airline RM Networks, Ang Li, Dennis Buitendijk, Yajun Ding, and Tristan Zaguirre Bundling and Advance Sales: Theory and Empirics Using One-way vs Round-trip Tickets, Diego Escobari, Paan Jindapon, and Nicholas Rupp | Session TA03 Data-driven Robust Product Design under Uncertain Correlated Consumer Preferences, Guan Liu, Ying Wei, Yongzhen Li, and Xin Chen Near-optimal Bayesian Online Assortment of Reusable Resources, YIding Feng, Rad Niazadeh, and Amin Saberi New Bounds for the Cardinality Constrained Assortment Optimization Problem under the Nested Logit Model, Sumit Kunnumkal | Session TA04 Omnichannel Pricing Strategies with Quality Uncertainty, Jae Hyuck Park, and Dongwook Shin Multi-item Online Order Fulfillment in a Two-layer Network, Yanyang (Alex) Zhao, Linwei Xin, and Xinshang Wang On the Joint Inventory and Pricing Control for A One-warehouse Multi-store Problem with Lost Sales: Spiraling Phenomena and A Near-optimal Heuristic, Murray Lei, Sheng Liu, Stefanus Jasin, and Andrew Vakhutinsky |
| 10:00 – 10:15 a.m. | Break | |||
| 10:15 – 11:45 a.m. Practice Spotlight | Practice Spotlight Session Customer Stories in Supply Chain Transformation, Dongdong Ge Joint Assortment and Inventory Planning for Heavy Tailed Demand, Vineet Goyal Retail Markdown Price Optimization and Inventory Allocation Under Demand Parameter Uncertainty, Andrew Vakhutinsky | |||
| 11:45 – 12:45 a.m. | Break | |||
| 12:45 – 1:45 p.m. Technical Session | Session TB01 Scoring a Touchdown with Variable Pricing: Evidence from a Quasi-Experiment in the NFL Ticket Markets, Hayri Alper Arslan, Necati Tereyagoglu, Ovunc Yilmaz Impact of Price Markdown Framing on Product Returns, Sahar Hemmati, Wedad Elmaghraby, and Ozge Sahin The Winner's Curse in Dynamic Forecasting of Auction Data: Empirical Evidence from Ebay, Ernan Haruvy, Meisam Hejazi Nia, Özalp Özer, and A. Serdar Simsek | Session TB02 Autonomous Vehicle Market Design, Zhen Lian and Garrett J. van Ryzin Autonomous Vehicles in Ride-hailing and the Threat of Spatial Inequalities, Francisco Castro, Jian Gao, and Sebastien Martin Facilitating Mobility through Subscription Contracts: Evidence from Emerging Economy, Neha Sharma, Milind Sohoni, and Achal Bassamboo | Session TB03 Feature-based Market Segmentation and Pricing, Michael L. Hamilton Centralized versus Decentralized Pricing Controls for Dynamic Matching Platforms, Omer Saritac, Ali Aouad, and Chiwei Yan Price Discovery and Efficiency in Waiting Lists: A Connection to Stochastic Gradient Descent, Itai Ashlagi, Jacob Leshno, Pengyu Qian, and Amin Saberi | Session TB04 Dynamic Assortment Personalization under Linear Preferences, Sajad Modaresi, Denis Saure, and Fernando Bernstein A General Framework for Resource Constrained Revenue Management with Demand Learning and Large Action Space, Sentao Miao, Yining Wang, and Jiawei Zhang Diffusion Approximations for a Class of Sequential Testing Problems, Rene A. Caldentey and Victor Araman |
| 1:45 – 2:00 p.m. | Break | |||
| 2:00 – 3:30 p.m. Spotlight Session | Spotlight Session 3 Design and Analysis of Switchback Experiments, Iavor Bojinov, David Simchi-Levi, and Jinglong Zhao—Discussant: Bob Phillips Near-optimal Experimental Design for Networks: Independent Block Randomization, Chen Chen, Ozan Candogan, and Rad Niazadeh—Discussant: Gabriel Weintraub | Spotlight Session 4 Privacy-Preserving Personalized Revenue Management, Murray Lei, Sentao Miao, and Ruslan Momot—Discussant: Gah-Yi Ban Data Tracking under Competition, Kostas Bimpikis, Ilan Morgenstern, and Daniela Saban—Discussant: Itay Fainmesser | ||
| 3:30 – 3:45 p.m. | Break | |||
| 3:45 – 5:05 p.m. Technical Session | Session TC01 Multi-purchase Behavior: Modeling and Optimization, Deeksha Sinha, Theja Tulabandhula, and Prasoon Patidar Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack, Jiashuo Jiang, Will Ma, and Jiawei Zhang Bundle Promotion Optimization in Scale, Ozge Sahin and Ali Fattahi Revenue Management with Product Retirement and Customer Selection, Adam Elmachtoub, Vineet Goyal, and Harsh Tarak Sheth | Session TC02 Larger Firms Pay More in The Gig Economy, Zhen Lian, Sebastien Martin, and Garrett J. van Ryzin Share or Solo? Individual and Social Choices in Ride-hailing, Ming Hu, Jianfu Wang, and Hengda Wen Should Gig Platforms Decentralize Dispute Resolution? Wee Kiat Lee and Yao Cui Minimum Wage Regulation in Ride-hailing Platforms: Unintended Equity Consequences, Harish Guda and Ashish Kabra | Session TC03 Product-based Approximate Linear Programs for Network Revenue Management, Saied Samiedaluie, Dan Zhang, and Rui Zhang Online Stochastic Optimization under Wasserstein-based Non-stationarity, Jiashuo Jiang, Xiaocheng Li, and Jiawei Zhang Assign-to-seat: Dynamic Capacity Control for Selling Train Tickets, Feng Zhu, Shaoxuan Liu, Rowan Wang, and Zizhuo Wang Network Inventory Management: Approximate Optimality in Large-Scale Systems, Deniz Akturk | Session TC04 Offline and Online Learning from Optimal Actions, Omar Besbes, Yuri Fonseca, and Ilan Lobel Lobel Pricing and Ranking under a Cascade Model of Consumer Review Browsing, Jingtong Zhao, Van-Anh Truong, Xin Pan, and Jie Song Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization, Negin Golrezaei, Rad Niazadeh, Joshua Wang, Fransisca Susan, and Ashwinkumar Badanidiyuru Varadaraja Constant Regret Re-solving Heuristics for Price-based Revenue Management, Yining Wang, and He Wang |
Session WA03 Calibrating Sales
June 30, 2021 Schedule (all times are US Eastern Time) |
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8:45 – 9:00 a.m. |
Welcome | |||
| 9:00 – 10:00 a.m. Technical Session |
Session WA01 Operations Management under Consumer Choice Models with Multiple Purchases, Shujie Luan Product Price, Quality and Service Decisions under Consumer Choice Models, Ruxian Wang, Chenxu Ke, and Shiliang Cui Optimal Discriminatory Pricing and Introduction Timing of Improving Technologies, Ian Kash, Peter Key, and Spyros Zoumpoulis |
Session WA02 Personalized Assortment Optimization under Consumer Choice Models with Local Network Effects, Zizhuo Wang and Tong Xie To Pay or Not To Pay: Targeting Referral Rewards in The Presence of Voluntary Word-of-mouth Diffusion, Shatian Wang and Van-Anh Truong How Much Should You Pay for Network Knowledge? Mohamed Mostagir and James Siderius |
Session WA03 Calibrating Sales Forecast in a Pandemic Using Online Non-Parametric Regression Model, David Simchi-Levi, Rui Sun, Michelle Wu, and Ruihao Zhu Data-Driven Asset Selling, Lingxiu Dong and Phil (Puping) Jiang The Effectiveness of Single Price Change in Learning and Earning via Sequential Estimation, Jeunghyun Kim, Dongyuan Zhan, and Chihoon Lee
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Session WA04 Online Advertisement Allocation in The Presence of Customer Choices, Xiaolong Li, Ying Rong, Renyu Zhang, and Huan Zheng Risk-averse Revenue Management Using Mean-variance and Mean-Semivariance Optimization, Rainer Schlosser and Jochen Goensch Convex Optimization for Bundle Size Pricing Problem, Xiaobo Li, Hailong Sun, and Chung-Piaw Teo |
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10:00 – 10:15 a.m. |
Break | |||
| 10:15 – 11:45 a.m. Spotlight Session | Spotlight Session 5 The Use of Binary Choice Forests To Model And Estimate Discrete Choices, Ningyuan Chen, Guillermo Gallego, Zhuodong Tang,—Discussant: Aydin Alptekinoglu Extended Sampled Tree Ensembles for Classification and Regression In Revenue Management, Omar Skali Lami, Georgia Perakis, Divya Singhvi—Discussant: Vineet Goyal |
Spotlight Session 6 Online Assortment Optimization for Two-sided Matching Platforms, Ali Aouad and Daniela Saban—Discussant: Van-Anh Truong Online Assortment Optimization With Reusable Resources, Xiao-Yue Gong, Vineet Goyal, Garud N. Iyengar, David Simchi-Levi, Rajan Udwani, Shuangyu Wang—Discussant: Rad Niazadeh |
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11:45 a.m. – 12:45 p.m. |
Break | |||
| 12:45 – 2:15 p.m. Spotlight Session |
Spotlight Session 7 Intertemporal Pricing with Resellers: An Empirical Study of Product Drops, Dayton T. Steele, Seyed Morteza Emadi, and Saravanan Kesavan—Discussant: Necati Tereyagoglu Damned If You Buy, Damned If You Wait: An Empirical Investigation of Customer Regret Under Markdown Pricing and Its Implications To Retailing, Ozalp Ozer, Inki Sul, and A. Serdar Simsek—Discussant: Marcelo Olivares |
Spotlight Session 8 Mechanism Design Under Approximate Incentive Compatibility, Francisco Castro, Omar Besbes, and Santiago Balseiro—Discussant: Azarakhsh Malekian Two-stage Stochastic Matching and Pricing with Applications to Ride Hailing, Yiding Feng, Rad Niazadeh, and Amin Saberi—Discussant: Sasa Pekec |
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2:15 – 2:30 p.m. |
Break | |||
| 2:30 – 3:30 p.m. Technical Session |
Session WB01 Private vs. Pooled Transportation: Customer Preference and Congestion Management, Kashish Arora, Fanyin Zheng, and Karan Girotra Lyft and Uber IPOs: Before and After, Maxime Cohen and Dmitry Mitrofanov Skilled Worker Turnover on On-demand Service Platforms: Evidence and Prescriptions from At-home Caregiver Markets, Wenchang Zhang and Kenneth Moon |
Session WB02 A Tale of Timescales: Surge Pricing and Dynamic Matching for Hotspot Demand Shock in Ride-hailing Networks, Philipp Afèche, Zhe Liu, and Costis Maglaras Matching Impatient and Heterogeneous Demand and Supply, Angelos Aveklouris, Levi DeValve, Amy R. Ward, and Xiaofan Wu Near Optimal Control in Ride Hailing Platforms with Strategic Servers, Sushil Varma, Francisco Castro, and Siva Theja Maguluri |
Session WB03 Deep Learning for Visual Advertising on Digital Platforms, N. Bora Keskin, Yuexing Li, Shaoxuan Liu, and Jing-Sheng Jeannette Song Intertemporal Pricing via Nonparametric Estimation: Integrating Reference Effects and Consumer Heterogeneity, Hansheng Jiang, Junyu Cao, and Zuo-Jun Max Shen Ancillary Services in Targeted Advertising: From Prediction and Prescription, Alison Rose Ann Borenstein, Ankit Mangal, Georgia Perakis, Stefan Poninghaus, Divya Singhvi, Omar Skali Lami, and Jiong Wei Lua |
Session WB04 Multi-Armed Bandits with Cost Subsidy, Deeksha Sinha, Karthik Abinav Sankararaman, Abbas Kazerouni, and Vashist Avadhanula Markdown Pricing under Unknown Demand, Su Jia, Andrew A. Li, and R. Ravi Restaurant Ranking in Food Delivery Platforms with Unknown Demand, Fatemeh (Niusha) Navidi, Rene A. Caldentey, Ozan Candogan, and Rad Niazadeh |
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3:30 – 3:45 p.m. |
Break | |||
| 3:45 – 4:45 p.m. Technical Session |
Session WC01 Learning New Auction Format by Bidders in Internet Display Ad Auctions, Shumpei Goke, Ralph Mastromonaco, Samuel Seljan, and Gabriel Weintraub Bidding and Pricing in Budget and ROI Constrained Markets, Jason Cheuk Nam Liang, Negin Golrezaei, and Patrick Jaillet Engineering Social Learning: Information Design of Time-locked Sales Campaigns for Online Platforms, Can Kucukgul, Ozalp Ozer, and Shouqiang Wang |
Session WC02 Pricing with Samples, Amine Allouah, Achraf Bahamou, and Omar Besbes Solving High Dimensional Challengers through Projection in Fast Fashion Prediction, Tamar Cohen-Hillel, Georgia Perakis, Yiannis Spantidakis, and Leann Thayaparan Taming Wild Price Fluctuations: Monotone Algorithms for Stochastic Convex Optimization, Jad Salem, Swati Gupta, and Vijay Kamble |
Session WC03 Learning Product Rankings Robust to Fake Users, Negin Golrezaei, Vahideh Manshadi, Jon Schneider, and Shreyas Sekar Sequential Submodular Maximization and Applications to Ranking an Assortment of Products, Arash Asadpour, Rad Niazadeh, Amin Saberi, and Ali Shameli Learning Customer Preferences with Abandonment, Austin Palmer and Van-Anh Truong |
Session WC04 The Markov Chain Choice Model on A Real Interval, Jonas Rauch Dynamic Iteratively Reconfigurable Clustering Algorithm for The Discrete Choice Hotel Room Booking Model, Sanghoon Cho and Andrew Vakhutinsky Optimal Upselling of Hotel Rooms, Natalia Kosilova and Aydin Alptekinoglu |