Year: 2025
Type: conference-paper
Abstract: Modern online advertising systems often involve a substantial number of advertisers in each auction, which results in scalability issues. To address this challenge, two-stage auctions have been designed and implemented in practice. These auctions enable efficient allocation of ad slots among numerous candidate advertisers in a short response time. This approach employs a fast yet coarse model in the first stage to select a small subset of advertisers, followed by a slow, more refined model to determine the final winners. However, existing two-stage auction mechanisms primarily focus on optimizing welfare, overlooking other critical objectives of the platform, such as revenue.
Authors: Zhikang Fan, Lan Hu, Ruirui Wang, Zhongrui Ma, Yue Wang, Qi Ye, Weiran Shen
Institutions: Renmin University of China, Huawei Technologies (China)
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Award: G4642383249
OpenAlex ID: W4410089207