EDBT 2026 Demo / reviewers in the wild / expert
Thanasis Noulas
dblp:213/9142
· DBLP profile ↗
3ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0001-7141-3780ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 2 since 2021Databases, data management, data science and information retrieval · 3 · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
3 papers |
Recommender systems · 96% Information retrieval · 4% | |
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Recommender systems
two-sided marketplace optimization |
2.0 | 3 | 2025 | TSMO 2025: Two-sided Marketplace Optimization: Search, Discovery, Matching, Pricing & Growth · KDD (2) 2025 TSMO 2024: Two-sided Marketplace Optimization · KDD 2024 Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth · WSDM 2018 |
Algorithmic game theory and mechanism design › market design
pricing and matching |
0.1 | 1 | 2018 | Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth · WSDM 2018 |
Methods — techniques the papers use, named apart from their topics
marketplace modeling · 1.6data mining · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | TSMO 2025: Two-sided Marketplace Optimization: Search, Discovery, Matching, Pricing & GrowthabstractIn 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. Mihajlo Grbovic, Vladan Radosavljevic, Rui Song 0006, Minmin Chen, Zhiwei (Tony) Qin, Katerina Iliakopoulou-Zanos, Thanasis Noulas, Hongtu Zhu, Fabrizio Silvestri |
KDD (2) | 8 |
| 2024 | TSMO 2024: Two-sided Marketplace OptimizationabstractIn 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. Mihajlo Grbovic, Vladan Radosavljevic, Minmin Chen, Katerina Iliakopoulou-Zanos, Thanasis Noulas, Fabrizio Silvestri |
KDD | 5 |
| 2018 | Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & GrowthabstractThe 1st International Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth(TSMO) will be held in Los Angeles, California, USA on February 9th, 2018, co-located with the 11th ACM International Conference on Web Search and Data Mining(WSDM). The main objective of the workshop is to address the challenges of two-sided marketplace optimization in web-scale settings. The workshop brings together interdisciplinary researchers in information retrieval, recommender systems, personalization, and related areas, to share, exchange, learn, and develop preliminary results, new concepts, ideas, principles, and methodologies on applying data mining technologies to marketplace optimization. We have constructed an exciting program papers and invited talks that will help us better understand the future of two-sided marketplaces Mihajlo Grbovic, Thanasis Noulas |
WSDM | 2 |