Joint Bidding in Ad Auctions

Yuchao Ma, Weian Li, Wanzhi Zhang, Yahui Lei, Zhicheng Zhang, Qi Qi*, Qiang Liu, Xingxing Wang

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

In traditional advertising auctions, commodity suppliers as advertisers compete for adverting positions to display commodities. As e-commerce platforms become more prevalent, offline retailers are also opening online virtual shops, and retailers are starting to charge a fee for extra exposure of their shops. This has led to situations where a single commodity may be sponsored by both the retailer and the supplier, offering opportunities for more profit. In order to explore this novel advertising pattern, we propose a new model called the joint advertising system (JAS), where retailers and suppliers jointly bid for advertising positions. In the context of this realistic scenario, conventional mechanisms such as GFP, GSP and Myerson auction cannot be applied directly. Besides, the VCG mechanism results in negative revenue in JAS. To solve this issue, we modify the payment rule of VCG to create a revised VCG mechanism that guarantees incentive compatibility, individual rationality and weak budget-balance. Additionally, we leverage the structure of the affine maximizer auction (AMA) and technique of automated mechanism design to train joint AMA. Finally, we conduct several experiments to demonstrate the performance of the joint AMA. It turns out that our mechanism maintains good economic properties and outperforms other mechanisms in various settings.

Original languageEnglish
Title of host publicationTheory and Applications of Models of Computation - 18th Annual Conference, TAMC 2024, Proceedings
EditorsXujin Chen, Bo Li
PublisherSpringer Science and Business Media Deutschland GmbH
Pages344-354
Number of pages11
ISBN (Print)9789819723393
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event18th Annual Conference on Theory and Applications of Models of Computation, TAMC 2024 - Hong Kong, China
Duration: 13 May 202415 May 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14637 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th Annual Conference on Theory and Applications of Models of Computation, TAMC 2024
Country/TerritoryChina
CityHong Kong
Period13/05/2415/05/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Keywords

  • Affine Maximizer Auctions
  • Joint Auction System
  • Mechanism Design
  • VCG

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