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News recommendation (NR) is essential for online news services.
Embedding-based news recommendation for millions of users
Shumpei Okura, Yukihiro Tagami, Shingo Ono, and Akira Tajima. 2017 · 1942
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On the difficulty of training recurrent neural networks
Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio. 2013 · 2013
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Inductive representation learning on large graphs
Will Hamilton, Zhitao Ying, and Jure Leskovec. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Content-driven, unsupervised clustering of news articles through multiscale graph partitioning
M. Tarik Altuncu, Sophia N. Yaliraki, and Mauricio Barahona. 2018 · 2018
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Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio. 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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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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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Neural news recommendation with multi-head self-attention
Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, and Xing Xie. 2019d · 2019
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Dan: Deep attention neural network for news recommendation
Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, and Li Guo. 2019 · 2019
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Revisiting graph based collaborative filtering: A linear residual graph convolutional network approach
Lei Chen, Le Wu, Richang Hong, Kun Zhang, and Meng Wang. 2020 · 2020
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Fine-grained interest matching for neural news recommendation
Heyuan Wang, Fangzhao Wu, Zheng Liu, and Xing Xie. 2020 · 2020
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MIND: A large-scale dataset for news recommendation
Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, and Ming Zhou. 2020 · 2020
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Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2021 · 2021
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Neural news recommendation with collaborative news encoding and structural user encoding
Zhiming Mao, Xingshan Zeng, and Kam-Fai Wong. 2021 · 2021
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Personalized news recommendation with knowledge-aware interactive matching
Tao Qi, Fangzhao Wu, Chuhan Wu, and Yongfeng Huang. 2021a · 2021
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Event-driven news stream clustering using entity-aware contextual embeddings
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Graph enhanced representation learning for news recommendation
Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang. 2020 · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2020 · 2020
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Kred: Knowledge-aware document representation for news recommendations
Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, and Xing Xie. 2020 · 2020
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Making monolingual sentence embeddings multilingual using knowledge distillation
Nils Reimers and Iryna Gurevych. 2020 · 2020
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Mpnet: Masked and permuted pre-training for language understanding
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2020 · 2020
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Graph neural news recommendation with long-term and short-term interest modeling
Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, and Chao Shao. 2020a
Cited in the paper.
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. 2020b
Cited in the paper.
Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, and Kathleen McKeown. 2021 · 2021
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User-as-graph: User modeling with heterogeneous graph pooling for news recommendation
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, and Xing Xie. 2021 · 2021
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Efficient-FedRec: Efficient federated learning framework for privacy-preserving news recommendation
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, and Xing Xie. 2021 · 2021
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MINER: Multi-interest matching network for news recommendation
Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, and Qun Liu. 2022 · 2022
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