DeCoCDR: Deployable Cloud-Device Collaboration for Cross-Domain Recommendation-Reference-Cited by-同舟云学术

DeCoCDR: Deployable Cloud-Device Collaboration for Cross-Domain Recommendation

Published:2024-07-10 Issue: Volume:13 Page:2114-2123
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Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Li Yu¹^ORCID,Zhang Yi²^ORCID,Zhou Zimu³^ORCID,Li Qiang¹^ORCID

Affiliation:

1. College of Computer Science and Technology, Jilin University, Changchun, China

2. Algorithm team, WeSure Inc., Shenzhen, China

3. School of Data Science, City University of Hong Kong, Hong Kong, Hong Kong

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657786

Reference41 articles.

1. Bahare Askari Jaroslaw Szlichta and Amirali Salehi-Abari. 2021. Variational autoencoders for top-k recommendation with implicit feedback. In SIGIR. 2061--2065.

2. Daniel J Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Javier Fernandez-Marques, Yan Gao, Lorenzo Sani, Hei Li Kwing, Titouan Parcollet, Pedro PB de Gusm?o, and Nicholas D Lane. 2020. Flower: A Friendly Federated Learning Research Framework. arXiv preprint arXiv:2007.14390 (2020).

3. Ye Bi Liqiang Song Mengqiu Yao Zhenyu Wu Jianming Wang and Jing Xiao. 2020. DCDIR: a deep cross-domain recommendation system for cold start users in insurance domain. In SIGIR. 1661--1664.

4. Lei Fu, Huanle Zhang, Ge Gao, Mi Zhang, and Xin Liu. 2023. Client selection in federated learning: Principles, challenges, and opportunities. IEEE Internet of Things Journal (2023).

5. Chen Gao Xiangning Chen Fuli Feng Kai Zhao Xiangnan He Yong Li and Depeng Jin. 2019. Cross-domain recommendation without sharing user-relevant data. In WWW. 491--502.