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News recommendation systems (RS) play a pivotal role in the current digital age, shaping how individuals access and engage with information.
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A re-visit of the popularity baseline in recommender systems. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval . 1749–1752
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Uncovering ChatGPT’s Capabilities in Recommender Systems
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A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News
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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
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Pp-rec: News recommendation with personalized user interest and time-aware news popularity
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M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems
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Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
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Personalized prompt learning for explainable recommendation
Lei Li, Yongfeng Zhang, and Li Chen. 2022 · 2022
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Is News Recommendation a Sequential Recommendation Task?. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval . 2382–2386
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Xinyi Li, Yongfeng Zhang, and Edward C Malthouse. 2023b · 2023
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Is chatgpt a good recommender? a preliminary study
Junling Liu, Chao Liu, Renjie Lv, Kang Zhou, and Yan Zhang. 2023 · 2023
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Is ChatGPT a general-purpose natural language processing task solver?
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Is ChatGPT a good sentiment analyzer? A preliminary study
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OpenP5: Benchmarking Foundation Models for Recommendation
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Is chatgpt fair for recommendation? evaluating fairness in large language model recommendation
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Prompt learning for news recommendation
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