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Personalized news recommendation aims to provide attractive articles for readers by predicting their likelihood of clicking on a certain article.
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News personalization using support vector machines
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Personalized news recommendation based on implicit feedback. In Proceedings of the 2013 international news recommender systems workshop and challenge . 10–15
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Personalized news recommendation using twitter. In 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) , Vol. 3. IEEE, 21–25
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A location-based news article recommendation with explicit localized semantic analysis. In Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval . 293–302
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Tailored news in the palm of your hand: a multi-perspective transparent approach to news recommendation. In Proceedings of the 22nd international conference on world wide web . 305–308
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Sequential click prediction for sponsored search with recurrent neural networks
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Session-based Recommendations with Recurrent Neural Networks
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Incorporating popularity in a personalized news recommender system
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Personalised news and blog recommendations based on user location, Facebook and Twitter user profiling. In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval . 1129–1132
Gabriella Kazai, Iskander Yusof, and Daoud Clarke. 2016 · 2016
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Research of personalized news recommendation system based on hybrid collaborative filtering algorithm. In 2016 2nd IEEE International Conference on Computer and Communications (ICCC) . IEEE, 865–869
Shan Liu, Yao Dong, and Jianping Chai. 2016 · 2016
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The adressa dataset for news recommendation. In Proceedings of the international conference on web intelligence . 1042–1048
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Lightgbm: A highly efficient gradient boosting decision tree
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Deep Neural Architecture for News Recommendation.. In CLEF (Working Notes)
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Neural attentive session-based recommendation
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Deep neural networks for news recommendations. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management . 2255–2258
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BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer
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Neural news recommendation with attentive multi-view learning
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Neural news recommendation with multi-head self-attention. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . 6390–6395
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Personalizing session-based recommendations with hierarchical recurrent neural networks
Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, and Paolo Cremonesi. 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
Cited alongside, same era.
A hybrid approach for personalized news recommendation in a mobility scenario using long-short user interest
Paula Viana and Márcio Soares. 2017 · 2017
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Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks
Bo Wu, Wen-Huang Cheng, Yongdong Zhang, Qiushi Huang, Jintao Li, and Tao Mei. 2017b · 2017
Cited alongside, same era.
Recurrent recommender networks
Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J Smola, and How Jing. 2017a · 2017
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News session-based recommendations using deep neural networks. In Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems . 15–23
Gabriel de Souza Pereira Moreira, Felipe Ferreira, and Adilson Marques da Cunha. 2018 · 2018
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CatBoost: gradient boosting with categorical features support
Anna Veronika Dorogush, Vasily Ershov, and Andrey Gulin. 2018 · 2018
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Lemei Zhang, Peng Liu, and Jon Atle Gulla. 2019 · 2019
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Deep interest evolution network for click-through rate prediction
Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, and Kun Gai. 2019 · 2019
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Dan: Deep attention neural network for news recommendation. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 33. 5973–5980
Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, and Li Guo. 2019 · 2019
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A utility-based news recommendation system
Morteza Zihayat, Anteneh Ayanso, Xing Zhao, Heidar Davoudi, and Aijun An. 2019 · 2019
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HYPNER: A Hybrid Approach for Personalized News Recommendation
Asghar Darvishy, Hamidah Ibrahim, Fatimah Sidi, and Aida Mustapha. 2020 · 2020
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Graph enhanced representation learning for news recommendation. In Proceedings of The Web Conference 2020 . 2863–2869
Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang. 2020 · 2020
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Time Interval Aware Self-Attention for Sequential Recommendation
Jiacheng Li, Yujie Wang, and Julian McAuley. 2020 · 2020
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GPU Accelerated Feature Engineering and Training for Recommender Systems
Benedikt Schifferer, Gilberto Titericz, Chris Deotte, Christof Henkel, Kazuki Onodera, Jiwei Liu, Bojan Tunguz, Even Oldridge, Gabriel De Souza Pereira Moreira, and Ahmet Erdem. 2020 · 2020
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Fine-grained Interest Matching for Neural News Recommendation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 836–845
Heyuan Wang, Fangzhao Wu, Zheng Liu, and Xing Xie. 2020 · 2020
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Mind: A large-scale dataset for news recommendation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 3597–3606
Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, et al · 2020
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PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity
Tao Qi, Fangzhao Wu, Chuhan Wu, and Yongfeng Huang. 2021 · 2021
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Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining . 1791–1800
Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, and Xiangnan He. 2021 · 2021
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Personalized News Recommendation: A Survey
Chuhan Wu, Fangzhao Wu, and Yongfeng Huang. 2021a · 2021
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Empowering News Recommendation with Pre-trained Language Models
Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang. 2021b · 2021
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FeedRec: News Feed Recommendation with Various User Feedbacks
Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang. 2021c · 2021
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MM-Rec: Multimodal News Recommendation
Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang. 2021d · 2021
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Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning
Joonyoung Yi and Buru Chang. 2021 · 2021
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