Empowering News Recommendation with Pre-trained Language Models-Reference-Cited by-同舟云学术

Empowering News Recommendation with Pre-trained Language Models

Published:2021-07-11 Issue: Volume: Page:
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Container-title:Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Wu Chuhan¹,Wu Fangzhao²,Qi Tao¹,Huang Yongfeng¹

Affiliation:

1. Tsinghua University, Beijing, China

2. Microsoft Research Asia, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404835.3463069

Reference33 articles.

1. Mingxiao An Fangzhao Wu Chuhan Wu Kun Zhang Zheng Liu and Xing Xie. 2019. Neural News Recommendation with Long-and Short-term User Representations. In ACL. 336--345. Mingxiao An Fangzhao Wu Chuhan Wu Kun Zhang Zheng Liu and Xing Xie. 2019. Neural News Recommendation with Long-and Short-term User Representations. In ACL. 336--345.

2. Hangbo Bao Li Dong Furu Wei Wenhui Wang Nan Yang Xiaodong Liu Yu Wang Jianfeng Gao Songhao Piao Ming Zhou etal 2020. Unilmv2: Pseudo-masked language models for unified language model pre-training. In ICML. PMLR 642--652. Hangbo Bao Li Dong Furu Wei Wenhui Wang Nan Yang Xiaodong Liu Yu Wang Jianfeng Gao Songhao Piao Ming Zhou et al. 2020. Unilmv2: Pseudo-masked language models for unified language model pre-training. In ICML. PMLR 642--652.

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