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The key to personalized news recommendation is to match the user's interests with the candidate news precisely and efficiently.
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Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach. In IJCAI,2018 . ijcai.org, 3805–3811
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Neural News Recommendation with Long- and Short-term User Representations. In ACL,2019 . Association for Computational Linguistics, 336–345
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Session-Based Recommendation with Graph Neural Networks. In AAAI,2019 . AAAI Press, 346–353
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Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. In IJCAI,2019 . ijcai.org, 4213–4219
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Graph Neural News Recommendation with Unsupervised Preference Disentanglement. In ACL,2020 . Association for Computational Linguistics, 4255–4264
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Fine-grained Interest Matching for Neural News Recommendation. In ACL,2020 . Association for Computational Linguistics, 836–845
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MIND: A Large-scale Dataset for News Recommendation. In ACL,2020 . Association for Computational Linguistics, 3597–3606
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Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, and Allan Hanbury. 2021 · 2021
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