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Conversational recommender systems (CRSs) aim to recommend high-quality items to users through a dialogue interface.
Language models are few-shot learners
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Uncovering ChatGPT’s Capabilities in Recommender Systems
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Estimation-action-reflection: Towards deep interaction between conversational and recommender systems. In Proceedings of the 13th International Conference on Web Search and Data Mining . 304–312
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Advances and challenges in conversational recommender systems: A survey
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CRFR: Improving conversational recommender systems via flexible fragments reasoning on knowledge graphs. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . 4324–4334
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Conversational recommendation via hierarchical information modeling. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval . 2201–2205
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Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
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A Survey on Large Language Models for Recommendation
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Is chatgpt fair for recommendation? evaluating fairness in large language model recommendation
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Recommendation as instruction following: A large language model empowered recommendation approach
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