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Precisely recommending candidate news articles to users has always been a core challenge for personalized news recommendation systems.
Neural News Recommendation with Attentive Multi-View Learning
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News Recommendation Systems - Accomplishments, Challenges & Future Directions
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Graph Enhanced Representation Learning for News Recommendation. In Proceedings of The Web Conference 2020 (WWW ’20) . Association for Computing Machinery, New York, NY, USA, 2863–2869
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Attention is all you need
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HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics, Online, 5446–5456
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Graph Neural Networks for Natural Language Processing: A Survey
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MINER: Multi-Interest Matching Network for News Recommendation. In Findings of the Association for Computational Linguistics: ACL 2022 . Association for Computational Linguistics, Dublin, Ireland, 343–352
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DIGAT: Modeling News Recommendation with Dual-Graph Interaction
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End-to-end Learnable Diversity-aware News Recommendation
Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang. 2022 · 2022
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