Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach-Reference-Cited by-同舟云学术

Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Li Ningyuan¹^ORCID,Ma Yunxuan¹^ORCID,Zhao Yang²^ORCID,Duan Zhijian¹^ORCID,Chen Yurong¹^ORCID,Zhang Zhilin²^ORCID,Xu Jian²^ORCID,Zheng Bo²^ORCID,Deng Xiaotie¹^ORCID

Affiliation:

1. Peking University, Beijing, China

2. Alibaba Group, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599403

Reference29 articles.

1. Optimal Multi-dimensional Mechanism Design: Reducing Revenue to Welfare Maximization

2. Matching Auctions for Search and Native Ads

3. EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search

4. Michael J Curry , Uro Lyi , Tom Goldstein , and John P Dickerson . 2022 . Learning revenue-maximizing auctions with differentiable matching . In International Conference on Artificial Intelligence and Statistics. PMLR, 6062--6073 . Michael J Curry, Uro Lyi, Tom Goldstein, and John P Dickerson. 2022. Learning revenue-maximizing auctions with differentiable matching. In International Conference on Artificial Intelligence and Statistics. PMLR, 6062--6073.

5. Mechanism Design for Multi-slot Ads Auction in Sponsored Search Markets

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