Connectionists: CfP - TSMO Workshop @ KDD 2024

[Vladan Radosavljevic]

Call for Workshop Papers


TSMO 2024

Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth

in conjunction with

The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024)

Barcelona, Spain, Sunday 25 August 2024 – Thursday 29 August 2024

https://sites.google.com/view/tsmo2024


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

  *   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, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper.

​

Submissions should not exceed 6 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 (LaTeX template guideline<https://www.overleaf.com/latex/templates/association-for-computing-machinery-acm-sig-proceedings-template/bmvfhcdnxfty>, the recommended setting for Latex documents is: \documentclass[sigconf, review]{acmart}, Microsoft Word template guideline<https://www.acm.org/publications/proceedings-template>).


Important Deadlines (anywhere on Earth):

Submission     :  Tuesday May 28th, 2024

Decisions         :  Friday June 28th, 2024

Camera-ready : Monday  July 11th, 2024

Workshop        :  Monday August 26th, 2024


Submission Website:

https://easychair.org/conferences/?conf=tsmo2024


Co-organizers:

Mihajlo Grbovic<https://www.linkedin.com/in/mihajlo-grbovic-a531b230/>  (Airbnb)

Vladan Radosavljevic<https://www.linkedin.com/in/vladan-radosavljevic-69244265/> (Spotify)

Minmin Chen<https://www.linkedin.com/in/minmin-chen-88411311/> (Google Deepmind)

Katerina Iliakopoulou-Zanos<https://www.linkedin.com/in/katerinailiakopoulou/> (Meta)

Thanasis Noulas<https://www.linkedin.com/in/noulas/> (Bitvavo)

Amit Goyal<https://www.linkedin.com/in/amitgoyal18/> (Amazon Music)

Fabrizio Silvestri<https://sites.google.com/diag.uniroma1.it/fabriziosilvestri/home> (Sapienza University of Rome)


For further questions please email the organizer's point of contact at mihajlo.grbovic at airbnb dot com.


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