2nd Workshop on Decision Intelligence and Analytics for Online Marketplaces


August 6, 2023 Long Beach, CA

Full Papers


Contact Complexity in Customer Service

Shu-Ting Pi (Amazon)*; Michael Yang (Amazon); Qun Liu (Amazon)


A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency

Alex Chin (Lyft)*; Zhiwei (Tony) Qin (Lyft)


P-learning for Two-sided Markets [video]

Wenli Feng (Shandong University); Xinlu Li (Shandong University); Linglong Kong (University of Alberta); Bei Jiang (University of Alberta); Xiaodong Yan (Shandong University)*


Nudging consumers towards environmentally friendly products

Malika Korganbekova (Kellogg School of Management, Northwestern University)*; Aliya Korganbekova (Questrom, Boston University); Yasaman Khazaeni (Wayfair LLC); Cole Zuber (Wayfair LLC)


Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning

Ruiyang Xu (Meta AI)*; Jalaj Bhandari (Meta AI)*; Dmytro Korenkevych (Meta); Fan Liu (Meta); Yuchen He (Meta); Alex Nikulkov (Meta AI); Zheqing Zhu (Meta AI)


Market Thickness and Delivery Efficiency in Food-delivery Platforms [video]

Ruomeng Cui (Emory University); Wenchang Zhang (Indiana University-Kelley School of Business); Zhanzhi Zheng (The University of North Carolina at Chapel Hill)*


The Price is Right: Removing A/B Test Bias in a Marketplace of Expirable Goods

Thu Le (Airbnb)*; Alex Deng (Airbnb)


Bid Optimization for Offsite Display Ad Campaigns on eCommerce [video]

Hangjian Li (Walmart); Dong Xu (Walmart)*; Konstantin Shmakov (Walmart); Kuang-Chih Lee (Walmart); Wei Shen (Walmart)



Extended Abstracts  (Posters)



Uncovering Customer Issues through Topological Natural Language Analysis

Shu-Ting Pi (Amazon)*; Sidarth Srinivasan (UCLA); Yuying Zhu (Amazon); Michael Yang (Amazon); Qun Liu (Amazon)


A Marketplace Price Anomaly Detection System at Scale

Akshit Sarpal (Walmart Labs)*; Qiwen Kang (Walmart Labs); Lijie Wan (Walmart Labs)


Exploring High-Potential Selection in E-commerce: A Multimodal Framework

Suryanaman Chaube (Flipkart)*; Rijula Kar (Flipkart); Sneh +91 Gupta (Flipkart, Internet Pvt); Mayank Kant (Flipkart)


Algorithm Aversion: Evidence from Ridesharing Drivers [poster]

Meng Liu (Washington University in St. Louis); Xiaocheng Tang (Meta); Siyuan Xia (Shanghai Jiaotong University); Shuo Zhang (Shanghai Jiaotong University); Yuting Zhu (National University of Singapore)*


Algorithmic Explanations as Ad Opportunities [poster]

Travis Greene (National Tsing Hua University); Sofie E Goethals (University of Antwerp)*; David Martens (University of Antwerp); Galit Shmueli (National Tsing Hua University)


Towards Equitable User Intent Prediction: Fairness-aware Event Modeling through Data Reweighting

Shaowu Yuchi (Georgia Institute of Technology)*; Eric Huang (Carnegie Mellon University); Shixiang Zhu (Carnegie Mellon University); Li Dong (Amazon); Yigit Arisoy (Amazon); Matthew Spencer (Amazon)