Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising-Reference-Cited by-同舟云学术

Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising

Published:2021-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Information & Knowledge Management
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Author:

Yang Haizhi¹,Wang Tengyun¹,Tang Xiaoli²,Li Qianyu¹,Shi Yueyue¹,Jiang Siyu³,Yu Han²,Song Hengjie¹

Affiliation:

1. South China University of Technology, Guangzhou, China

2. Nanyang Technological University, Singapore, Singapore

3. Guangdong University of Foreign Studies, Guangzhou, China

Funder

National Research Foundation Singapore

Pre-Research Foundation of China

RIE 2020 Advanced Manufacturingand Engineering Programmatic Fund Singapore

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459637.3482373

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3. Ying Cui Ruofei Zhang Wei Li and Jianchang Mao. 2011. Bid landscape forecasting in online ad exchange marketplace. In SIGKDD. 265--273. Ying Cui Ruofei Zhang Wei Li and Jianchang Mao. 2011. Bid landscape forecasting in online ad exchange marketplace. In SIGKDD. 265--273.

4. Huifeng Guo Ruiming TANG Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. In IJCAI. 1725--1731. Huifeng Guo Ruiming TANG Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. In IJCAI. 1725--1731.

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