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News recommendation aims to display news articles to users based on their personal interest.
Federated collaborative filtering for privacy-preserving personalized recommendation system
Muhammad Ammad, Elena Ivannikova, Suleiman A Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, and Adrian Flanagan. 2019 · 1901
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Secure federated matrix factorization
Di Chai, Leye Wang, Kai Chen, and Qiang Yang. 2019 · 1906
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Ligeng Zhu, Zhijian Liu, and Song Han. 2019a · 1906
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Embedding-based news recommendation for millions of users
Shumpei Okura, Yukihiro Tagami, Shingo Ono, and Akira Tajima. 2017 · 1942
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Dan: Deep attention neural network for news recommendation
Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, and Guo Li. 2019b · 2003
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Some additional insights on applying differential privacy for numeric data
Rathindra Sarathy and Krish Muralidhar. 2010 · 2010
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Factorization machines with libfm
Steffen Rendle. 2012 · 2012
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Local privacy and statistical minimax rates
John C Duchi, Michael I Jordan, and Martin J Wainwright. 2013 · 2013
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On the properties of neural machine translation: Encoder–decoder approaches
Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014 · 2014
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Extremal mechanisms for local differential privacy
Peter Kairouz, Sewoong Oh, and Pramod Viswanath. 2014 · 2014
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Heavy hitter estimation over set-valued data with local differential privacy
Zhan Qin, Yin Yang, Ting Yu, Issa Khalil, Xiaokui Xiao, and Kui Ren. 2016 · 2016
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The adressa dataset for news recommendation
Jon Atle Gulla, Lemei Zhang, Peng Liu, Özlem Özgöbek, and Xiaomeng Su. 2017 · 2017
Cited alongside, same era.
Communication-efficient learning of deep networks from decentralized data
Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Towards better representation learning for personalized news recommendation: a multi-channel deep fusion approach
Jianxun Lian, Fuzheng Zhang, Xing Xie, and Guangzhong Sun. 2018 · 2018
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High-dimensional crowdsourced data publication with local differential privacy
Xuebin Ren, Chia-Mu Yu, Weiren Yu, Shusen Yang, Xinyu Yang, Julie A McCann, and S Yu Philip. 2018 · 2018
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Dkn: Deep knowledge-aware network for news recommendation
Hongwei Wang, Fuzheng Zhang, Xing Xie, and Minyi Guo. 2018 · 2018
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Drn: A deep reinforcement learning framework for news recommendation
Guanjie Zheng, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie, and Zhenhui Li. 2018 · 2018
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Neural news recommendation with long-and short-term user representations
Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, and Xing Xie. 2019 · 2019
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Cited alongside, same era.
Guaranteeing local differential privacy on ultra-low-power systems
Woo-Seok Choi, Matthew Tomei, Jose Rodrigo Sanchez Vicarte, Pavan Kumar Hanumolu, and Rakesh Kumar. 2018 · 2018
Cited alongside, same era.
Privacy at scale: Local differential privacy in practice
Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li, Divesh Srivastava, and Tianhao Wang. 2018 · 2018
Cited alongside, same era.
Neural news recommendation with attentive multi-view learning
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, and Xing Xie. 2019a
Cited in the paper.
Npa: Neural news recommendation with personalized attention
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, and Xing Xie. 2019b
Cited in the paper.
Neural news recommendation with heterogeneous user behavior
Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, and Xing Xie. 2019c
Cited in the paper.
Neural news recommendation with multi-head self-attention
Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, and Xing Xie. 2019d
Cited in the paper.
Federated topic modeling
Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, and Qiang Yang. 2019 · 2019
Later among the works it cites.
Why gradient clipping accelerates training: A theoretical justification for adaptivity
Jingzhao Zhang, Tianxing He, Suvrit Sra, and Ali Jadbabaie. 2019 · 2019
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Graph neural news recommendation with unsupervised preference disentanglement
Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, and Ming Zhou. 2020 · 2020
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