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20232026
most citedKnowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems

27 citations · 44 across the 14 of their papers we have counts for

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Showing 2024 · cs.CLShow all

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cs.CL2024★ 1 cited

Reasoning over User Preferences: Knowledge Graph-Augmented LLMs for Explainable Conversational Recommendations

Zhangchi Qiu, Linhao Luo, Shirui Pan +1

Conversational Recommender Systems (CRSs) aim to provide personalized recommendations by capturing user preferences through interactive dialogues. Explainability in CRSs is crucial…