HAMUR: Hyper Adapter for Multi-Domain Recommendation-Reference-Cited by-同舟云学术

HAMUR: Hyper Adapter for Multi-Domain Recommendation

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Li Xiaopeng¹^ORCID,Yan Fan²^ORCID,Zhao Xiangyu¹^ORCID,Wang Yichao²^ORCID,Chen Bo²^ORCID,Guo Huifeng²^ORCID,Tang Ruiming²^ORCID

Affiliation:

1. City University of Hong Kong, Hong Kong, Hong Kong

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

Funder

Huawei Innovation Research Program

SIRG - CityU Strategic Interdisciplinary Research Grant

Hong Kong ITC Innovation and Technology Fund Midstream Research Programme for Universities Project

CityU - HKIDS Early Career Research Grant

APRC - CityU New Research Initiatives

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615137

Reference43 articles.

1. 2020. MindSpore. https://www.mindspore.cn/ 2020. MindSpore. https://www.mindspore.cn/

2. A Theory of Adaptive Pattern Classifiers

3. Ankur Bapna , Naveen Arivazhagan , and Orhan Firat . 2019. Simple , scalable adaptation for neural machine translation. arXiv preprint arXiv:1909.08478 ( 2019 ). Ankur Bapna, Naveen Arivazhagan, and Orhan Firat. 2019. Simple, scalable adaptation for neural machine translation. arXiv preprint arXiv:1909.08478 (2019).

4. Jacob Beck , Matthew Thomas Jackson , Risto Vuorio , and Shimon Whiteson . 2023 . Hypernetworks in meta-reinforcement learning . In Conference on Robot Learning. PMLR, 1478--1487 . Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, and Shimon Whiteson. 2023. Hypernetworks in meta-reinforcement learning. In Conference on Robot Learning. PMLR, 1478--1487.

5. Weijie Bian , Kailun Wu , Lejian Ren , Qi Pi , Yujing Zhang , Can Xiao , Xiang-Rong Sheng , Yong-Nan Zhu , Zhangming Chan , Na Mou , et al . 2020 . CAN : Feature Co-Action for Click-Through Rate Prediction . arXiv preprint arXiv:2011.05625 (2020). Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Yong-Nan Zhu, Zhangming Chan, Na Mou, et al . 2020. CAN: Feature Co-Action for Click-Through Rate Prediction. arXiv preprint arXiv:2011.05625 (2020).

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