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Ariana Tang

dblp:402/7132 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design › mechanism design
auction design
0.912025
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
0.912025
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
0.312025
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
0.312025
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
YearPublicationVenuePosition
2025 Price Stability and Improved Buyer Utility with Presentation Design: A Theoretical Study of the Amazon Buy Box
abstract
Platforms 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
WWW4