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CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation

  • Published:2022-08-14 Issue: Volume: Page:
  • ISSN:
  • Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • language:
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Author:

Wang XiaoYu1,Tan Bin2,Guo Yonghui2,Yang Tao2,Huang Dongbo2,Xu Lan2,Freris Nikolaos M.1,Zhou Hao1,Li Xiang-Yang1

Affiliation:

1. University of Science and Technology of China & Deqing Alpha Innovations Institute, Hefei, China

2. Tencent Advertising, Shanghai, China

Funder

Key Research Program of Frontier Sciences, CAS

Tencent Holdings Ltd

National Key R&D Program of China

University Synergy Innovation Program of Anhui Province

China National Natural Science Foundation

Publisher

ACM

Cited by 2 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. Follow the LIBRA: Guiding Fair Policy for Unified Impression Allocation via Adversarial Rewarding;Proceedings of the 17th ACM International Conference on Web Search and Data Mining;2024-03-04

2. CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21
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