Learning-based ad auction design with externalities: the framework and a matching-based approach

[PDF] arxiv.org

Deep automated mechanism design for integrating ad auction and allocation in feed

X Li, Z Wang, B Zhu, F He, Y Wang… - Proceedings of the 47th …, 2024 - dl.acm.org
E-commerce platforms usually present an ordered list, mixed with several organic items and
an advertisement, in response to each user's page view request. This list, the outcome of ad …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

Large-Scale Contextual Market Equilibrium Computation through Deep Learning

Y Ma, Y Bian, H Xu, W Yang, J Zhao, Z Duan… - arXiv preprint arXiv …, 2024 - arxiv.org
Market equilibrium is one of the most fundamental solution concepts in economics and
social optimization analysis. Existing works on market equilibrium computation primarily …
相关文章 所有 2 个版本
[PDF] arxiv.org

Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions

Y Hu, C Han, T Guo, H Xiao - arXiv preprint arXiv:2212.02723, 2022 - arxiv.org
Online auction scenarios, such as bidding searches on advertising platforms, often require
bidders to participate repeatedly in auctions for the same or similar items. We design an …
相关文章 所有 4 个版本

Joint Bidding in Ad Auctions

Y Ma, W Li, W Zhang, Y Lei, Z Zhang, Q Qi… - Annual Conference on …, 2024 - Springer
In traditional advertising auctions, commodity suppliers as advertisers compete for adverting
positions to display commodities. As e-commerce platforms become more prevalent, offline …
相关文章 所有 3 个版本