Demo Data from EDBT 2026 / reviewers in the wild / expert
Ariana Tang
dblp:402/7132
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0009-3567-7162ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 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.
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational finance and economics · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design › mechanism design
auction design |
0.9 | 1 | 2025 | Price Stability and Improved Buyer Utility with Presentation Design: A Theoretical Study of the Amazon Buy Box · WWW 2025 |
Algorithmic game theory and mechanism design
market design |
0.9 | 1 | 2025 | Price Stability and Improved Buyer Utility with Presentation Design: A Theoretical Study of the Amazon Buy Box · WWW 2025 |
Computational finance and economics
electronic commerce |
0.3 | 1 | 2025 | Price Stability and Improved Buyer Utility with Presentation Design: A Theoretical Study of the Amazon Buy Box · WWW 2025 |
Computational finance and economics › electronic commerce
online marketplace |
0.3 | 1 | 2025 | Price Stability and Improved Buyer Utility with Presentation Design: A Theoretical Study of the Amazon Buy Box · WWW 2025 |
Methods — techniques the papers use, named apart from their topics
game theory · 1.7equilibrium analysis · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Price Stability and Improved Buyer Utility with Presentation Design: A Theoretical Study of the Amazon Buy BoxabstractPlatforms design the form of presentation by which sellers are shown to the buyers. This design not only shapes the buyers' experience but also leads to different market equilibria or dynamics. One component in this design is through the platform's mediation of the search frictions experienced by the buyers for different sellers. We take a model of monopolistic competition and show that, on one hand, when all sellers have the same inspection costs, the market sees no stable price since the sellers always have incentives to undercut each other, and, on the other hand, the platform may stabilize the price by giving prominence to one seller chosen by a carefully designed mechanism. This calls to mind Amazon's Buy Box. We study natural mechanisms for choosing the prominent seller, characterize the range of equilibrium prices implementable by them, and find that in certain scenarios the buyers' surplus improves as the search friction increases. Ophir Friedler, Hu Fu 0001, Anna R. Karlin, Ariana Tang |
WWW | 4 |