Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction-Reference-Cited by-同舟云学术

Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction

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:

Xu Yichen¹,Zhu Yanqiao²,Yu Feng³,Liu Qiang²,Wu Shu²

Affiliation:

1. Beijing University of Posts and Telecommunications, Beijing, China

2. Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

3. Alibaba Group, Beijing, China

Funder

Shandong Provincial Key Research and Development Program

National Key Research and Development Program

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459637.3482088

Reference24 articles.

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2. Heng-Tze Cheng Levent Koc Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Chai Mustafa Ispir Rohan Anil Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu and Hemal Shah. 2016. Wide & Deep Learning for Recommender Systems. In DLRS@RecSys. ACM 7--10. Heng-Tze Cheng Levent Koc Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Chai Mustafa Ispir Rohan Anil Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu and Hemal Shah. 2016. Wide & Deep Learning for Recommender Systems. In DLRS@RecSys. ACM 7--10.

3. Exploratory Projection Pursuit

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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