An Adaptive Unified Allocation Framework for Guaranteed Display Advertising

Author:

Cheng Xiao1,Liu Chuanren2,Dai Liang1,Zhang Peng1,Fang Zhen1,Zu Zhonglin1

Affiliation:

1. Alibaba Group, Beijing, China

2. University of Tennessee, Knoxville, TN, USA

Publisher

ACM

Reference22 articles.

1. Google or-tools. URL https://developers.google.com/optimization/lp/glop. Google or-tools. URL https://developers.google.com/optimization/lp/glop.

2. Online allocation of display ads with smooth delivery

3. SHALE

4. Ad serving using a compact allocation plan

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

2. End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

3. Fairness-aware Guaranteed Display Advertising Allocation under Traffic Cost Constraint;Proceedings of the ACM Web Conference 2023;2023-04-30

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