Deep Pattern Network for Click-Through Rate Prediction

Author:

Zhang Hengyu1ORCID,Pan Junwei2ORCID,Liu Dapeng2ORCID,Jiang Jie2ORCID,Li Xiu3ORCID

Affiliation:

1. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China

2. Tencent, Shenzhen, Guangdong, China

3. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China

Funder

Shenzhen Key Laboratory of next generation interactive media innovative technology

Publisher

ACM

Reference51 articles.

1. Mart'i n Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2016. TensorFlow: A System for Large-Scale Machine Learning. In 12th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2016, Savannah, GA, USA, November 2--4, 2016, Kimberly Keeton and Timothy Roscoe (Eds.). USENIX Association, 265--283. https://www.usenix.org/conference/osdi16/technical-sessions/presentation/abadi

2. Weijie Bian Kailun Wu Lejian Ren Qi Pi Yujing Zhang Can Xiao Xiang-Rong Sheng Yong-Nan Zhu Zhangming Chan Na Mou Xinchen Luo Shiming Xiang Guorui Zhou Xiaoqiang Zhu and Hongbo Deng. 2022. CAN: Feature Co-Action Network for Click-Through Rate Prediction. In WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining Virtual Event / Tempe AZ USA February 21 - 25 2022 K. Selcuk Candan Huan Liu Leman Akoglu Xin Luna Dong and Jiliang Tang (Eds.). ACM 57--65. https://doi.org/10.1145/3488560.3498435

3. Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction

4. Qiwei Chen, Changhua Pei, Shanshan Lv, Chao Li, Junfeng Ge, and Wenwu Ou. 2021. End-to-End User Behavior Retrieval in Click-Through RatePrediction Model. CoRR , Vol. abs/2108.04468 (2021). showeprint[arXiv]2108.04468 https://arxiv.org/abs/2108.04468

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