CfP - TSMO @ KDD2026

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Vladan Radosavljevic

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12:49 AM (9 hours ago) 12:49 AM

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Call for Workshop Papers

TSMO 2026

in conjunction with

The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026)

Jeju, Korea, August 9th - 13th, 2026

https://sites.google.com/view/tsmo2026

In recent years, two-sided marketplaces have emerged as viable business models in many real-world applications. In particular, we have moved from the social network paradigm to a network with two distinct types of participants representing the supply and demand of a specific good. Examples of industries include but are not limited to accommodation (Airbnb, Booking.com), video content (YouTube, Instagram, TikTok), ridesharing (Uber, Lyft), online shops (Etsy, Ebay, Facebook Marketplace), music (Spotify, Amazon), app stores (Apple App Store, Google App Store) or job sites (LinkedIn). The traditional research in most of these industries focused on satisfying the demand. OTAs would sell hotel accommodation, TV networks would broadcast their own content, or taxi companies would own their own vehicle fleet. In modern examples like Airbnb, YouTube, Instagram, or Uber, the platforms operate by outsourcing the service they provide to their users, whether they are hosts, content creators or drivers, and have to develop their models considering their needs and goals.

The two-sided marketplaces are almost entirely data-driven. Machine learning powered methods and algorithms are essential in every aspect of two-sided marketplaces. This workshop aims to bring practitioners of two-sided marketplaces together and discuss the evolution of content ranking, recommendation systems, and data mining when solving for producers and consumers on these platforms. Additionally, the workshop will cover Generative AI applications in these platforms and how they are changing the ecosystem.

The topics of this workshop include, but are not limited to, the following:

Search in two-sided marketplaces
Recommendation Systems in two-sided marketplaces
Generative AI applications in two-sided marketplaces
Online matching and rebalancing in two-sided marketplaces
Embedding applications in two-sided marketplaces
Retrieval-augmented generation (RAG) applications in two-sided marketplaces
Growth and Monetization for two-sided marketplaces
Marketing Strategies
Dynamic Pricing and Price Recommendations
Fraud and fake-content Detection
Privacy
Battle scars and lessons learned from deploying real-world systems

Submission Instructions:

Following the KDD conference, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper.

Submissions should not exceed 8 pages plus up to one additional page of references. The submission must be in PDF format, and formatted according to the Standard ACM Conference Proceedings Template.

Important Deadlines (anywhere on Earth):

Submission : May 20th, 2026

Decisions : June 15th, 2026

Camera-ready : July 20th, 2026

Workshop : August 10th, 2026

Submission Website:

https://easychair.org/conferences/?conf=tsmo2026

Co-organizers:

Mihajlo Grbovic (Airbnb)

Vladan Radosavljevic (Spotify)

Minmin Chen (Google Deepmind)

Katerina Iliakopoulou-Zanos (Disney)