RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction-Reference-Cited by-同舟云学术

RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction

Published:2024-05-13 Issue: Volume: Page:867-870
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2024
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Author:

Li Yushen¹^ORCID,Wang Jinpeng¹^ORCID,Dai Tao²^ORCID,Zhu Jieming³^ORCID,Yuan Jun³^ORCID,Zhang Rui⁴^ORCID,Xia Shu-Tao⁵^ORCID

Affiliation:

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

2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

3. Huawei Noah's Ark Lab, Shenzhen, China

4. www.ruizhang.info, Shenzhen, China

5. Tsinghua Shenzhen International Graduate School, Tsinghua University & Research Center of Artificial Intelligence, Peng Cheng Laboratory, Shenzhen, China

Funder

PCNL KEY project

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589335.3651550

Reference20 articles.

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2. Heng-Tze Cheng Levent Koc Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg Corrado Wei Chai Mustafa Ispir et al. 2016. Wide & Deep Learning for Recommender Systems. In RecSys.

3. Kounianhua Du Weinan Zhang Ruiwen Zhou Yangkun Wang Xilong Zhao Jiarui Jin Quan Gan Zheng Zhang and David Wipf. 2022. Learning Enhanced Representations for Tabular Data via Neighborhood Propagation. In NeurIPS.

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.

5. Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-wei Chang. 2020. REALM: Retrieval-Augmented Language Model Pre-Training. In ICML.