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Computer Science > Computer Science and Game Theory

arXiv:2408.07685 (cs)
[Submitted on 14 Aug 2024]

Title:Auto-bidding and Auctions in Online Advertising: A Survey

Authors:Gagan Aggarwal, Ashwinkumar Badanidiyuru, Santiago R. Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Gagan Goel, Christopher Liaw, Haihao Lu, Mohammad Mahdian, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Andres Perlroth, Georgios Piliouras, Jon Schneider, Ariel Schvartzman, Balasubramanian Sivan, Kelly Spendlove, Yifeng Teng, Di Wang, Hanrui Zhang, Mingfei Zhao, Wennan Zhu, Song Zuo
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Abstract:In this survey, we summarize recent developments in research fueled by the growing adoption of automated bidding strategies in online advertising. We explore the challenges and opportunities that have arisen as markets embrace this autobidding and cover a range of topics in this area, including bidding algorithms, equilibrium analysis and efficiency of common auction formats, and optimal auction design.
Subjects: Computer Science and Game Theory (cs.GT)
Cite as: arXiv:2408.07685 [cs.GT]
  (or arXiv:2408.07685v1 [cs.GT] for this version)
  https://doi.org/10.48550/arXiv.2408.07685

Submission history

From: Song Zuo [view email]
[v1] Wed, 14 Aug 2024 17:37:05 UTC (28 KB)
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