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Most existing news recommendation methods tackle this task by conducting semantic matching between candidate news and user representation produced by historical clicked news.
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A Survey on Personalized News Recommendation Technology
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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 2019, Hong Kong, China, November 3-7, 2019 , Kentaro Inui, Jing Jiang, Vincent Ng, and Xiaojun Wan (Eds.). Association for Computational Linguistics, 6388–6393
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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, ACL 2020, Online, July 5-10, 2020 , Dan Jurafsky, Joyce Chai, Natalie Schluter, and Joel R. Tetreault (Eds.). Association for Computational Linguistics, 3597–3606
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Empowering News Recommendation with Pre-trained Language Models. In SIGIR ’21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 , Fernando Diaz, Chirag Shah, Torsten Suel, Pablo Castells, Rosie Jones, and Tetsuya Sakai (Eds.). ACM, 1652–1656
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Exploring Fine-tuning ChatGPT for News Recommendation
Xinyi Li, Yongfeng Zhang, and Edward C Malthouse. 2023a · 2023
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A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News
Xinyi Li, Yongfeng Zhang, and Edward C Malthouse. 2023b · 2023
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LLaRA: Aligning Large Language Models with Sequential Recommenders
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ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
Qijiong Liu, Nuo Chen, Tetsuya Sakai, and Xiao-Ming Wu. 2023a · 2023
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ONCE: Boosting Content-based Recommendation with Both Open-and Closed-source Large Language Models
Qijiong Liu, Nuo Chen, Tetsuya Sakai, and Xiao-Ming Wu. 2023b · 2023
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Chatgpt as a factual inconsistency evaluator for text summarization
Zheheng Luo, Qianqian Xie, and Sophia Ananiadou. 2023 · 2023
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LLM-Rec: Personalized Recommendation via Prompting Large Language Models
Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, and Jiebo Luo. 2023 · 2023
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Large Language Model Augmented Narrative Driven Recommendations
Sheshera Mysore, Andrew McCallum, and Hamed Zamani. 2023 · 2023
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When large language model based agent meets user behavior analysis: A novel user simulation paradigm
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Generative recommendation: Towards next-generation recommender paradigm
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Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Jingyuan Wang, and Ji-Rong Wen. 2023c · 2023
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Enhancing recommender systems with large language model reasoning graphs
Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Y Zhang, Qing Cui, et al · 2023
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Personalized News Recommendation: Methods and Challenges
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, and Xing Xie. 2023 · 2023
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Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
Boming Yang, Dairui Liu, Toyotaro Suzumura, Ruihai Dong, and Irene Li. 2023 · 2023
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Recommendation as instruction following: A large language model empowered recommendation approach
Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, and Ji-Rong Wen. 2023 · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
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A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, et al · 2023
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