KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces
URL: https://sites.google.com/view/kdd23onlinemarketplaces
Call For Papers (Submission deadline: May 30, 2023)
Online marketplace is a digital platform that connects buyers (demand) and sellers (supply) and provides exposure opportunities that individual participants would not otherwise have access to. Online marketplaces exist in a diverse set of domains and industries, for example, rideshare (Lyft, DiDi, Uber), house rental (Airbnb), real estate (Beke), online retail (Amazon, Ebay), job search (LinkedIn, Indeed.com, CareerBuilder), and food ordering and delivery (Doordash, Meituan). Besides academia, many companies and institutions are researching on topics specific to their particular domains. The fundamental mechanism of an online marketplace is to match supply and demand to generate transactions, with objectives considering service quality, participants experience, financial and operational efficiency. It is valuable to bring together researchers and practitioners from different application domains to discuss their experiences, challenges, and opportunities to leverage cross-domain knowledge. The goal of this workshop is to offer an opportunity to appreciate the diversity in applications, to draw connections to inform decision optimization across different industries, and to discover new problems that are fundamental to marketplaces of different domains.
Topics
We invite paper submission with a focus that aligns with the goals of this workshop. Our topics of interest span over prediction, planning, and decision problems for online marketplaces, including but not limited to
- supply-demand prediction,
- ETA (expected time-of-arrival) prediction,
- dynamic matching and assignment,
- supply planning and rebalancing,
- dynamic pricing,
- search, ranking, recommendation, and personalization,
- growth and monetization,
- simulation, evaluation and experimentation,
- privacy-aware operations,
- decision-making under competition,
- robustness to large market condition shifts,
- algorithms applied to the above topics: deep learning, reinforcement learning, multi-armed bandits, causal inference, mathematical programming, and stochastic optimization,
- applications: ridesharing, online retail, food delivery, house rental, real estate, and more.
Submission
We welcome full research papers, position papers, and extended abstracts. Papers that are under review at another conference or journal are acceptable for submission at this workshop, but we will not accept papers that have already been accepted or published at a venue with formal proceedings (including KDD 2023). All accepted papers will be archived on the workshop website, but there will not be formal proceedings.
Submission portal: Papers are submitted through the CMT portal for this workshop: https://cmt3.research.microsoft.com/OnlineMarketplaces2023/Submission/Index
Paper format: Papers must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here: https://www.acm.org/publications/proceedings-template.
Paper length: Full papers are limited to 8 pages (excluding references), must be in PDF, and use ACM Conference Proceeding template (two column format). Additional supplemental material focused on reproducibility can be provided. Proofs, pseudo-code, and code may also be included in the supplement, which has no explicit page limit. Extended abstracts should not exceed 2 pages, excluding references. No supplement is allowed for extended abstracts.
Review Process: Each full paper will be reviewed by three PC members, while extended abstracts will not be reviewed. The acceptance decisions will take in account novelty, technical depth and quality, insightfulness, depth, elegance, practical or theoretical impact, reproducibility and presentation. We will use double-blind reviewing. For each accepted paper, at least one author must attend the workshop and present the paper (either in person or virtually).
Important Dates
Submission open: April 6, 2023
Submission due: May 30, 2023
Acceptance notification: June 23, 2023
All deadlines are at 11:59 PM anytime in the world.
Contact
For questions on submission and the workshop, please send email through the following link:
https://cmt3.research.microsoft.com/OnlineMarketplaces2023/Email/Chairs.
Chairs
Tony Qin (Lyft), Rui Song (Amazon), Jieping Ye (Alibaba), Hongtu Zhu (UNC), Michael Jordan (Berkeley)
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Zhiwei (Tony) Qin
Principal Scientist
Lyft
San Francisco CA
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