Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising-Reference-Cited by-同舟云学术

Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising

Published:2022-10-17 Issue: Volume: Page:
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Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Guo Yuyao¹,Li Haoming¹,Ao Xiang¹,Lu Min²,Liu Dapeng²,Xiao Lei²,Jiang Jie²,He Qing¹

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

2. Tencent, Shenzhen, China

Funder

CCF-Tencent Open Fund

Youth Innovation Promotion Association of the Chinese Academy of Sciences

National Natural Science Foundation of China under Grant

Beijing Nova Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557557

Reference28 articles.

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4. Siyu Gu Xiang-Rong Sheng Ying Fan Guorui Zhou and Xiaoqiang Zhu. 2021. Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling. In KDD. ACM 2890--2898. Siyu Gu Xiang-Rong Sheng Ying Fan Guorui Zhou and Xiaoqiang Zhu. 2021. Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling. In KDD. ACM 2890--2898.

5. Chuan Guo , Geoff Pleiss , Yu Sun , and Kilian Q . Weinberger . 2017 . On Calibration of Modern Neural Networks. In ICML (Proceedings of Machine Learning Research , Vol. 70). PMLR, 1321-- 1330 . Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q. Weinberger. 2017. On Calibration of Modern Neural Networks. In ICML (Proceedings of Machine Learning Research, Vol. 70). PMLR, 1321--1330.

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