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Thanasis Noulas

dblp:213/9142 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Recommender systems
two-sided marketplace optimization
2.032025
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
0.112018
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
YearPublicationVenuePosition
2025 TSMO 2025: Two-sided Marketplace Optimization: Search, Discovery, Matching, Pricing & Growth
abstract
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.
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 Optimization
abstract
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.
Mihajlo Grbovic, Vladan Radosavljevic, Minmin Chen, Katerina Iliakopoulou-Zanos, Thanasis Noulas, Fabrizio Silvestri
KDD5
2018 Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth
abstract
The 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
WSDM2