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- research-articleOctober 2024Best Paper
Towards Empathetic Conversational Recommender Systems
- Xiaoyu Zhang,
- Ruobing Xie,
- Yougang Lyu,
- Xin Xin,
- Pengjie Ren,
- Mingfei Liang,
- Bo Zhang,
- Zhanhui Kang,
- Maarten de Rijke,
- Zhaochun Ren
RecSys '24: Proceedings of the 18th ACM Conference on Recommender SystemsPages 84–93https://doi.org/10.1145/3640457.3688133Conversational recommender systems (CRSs) are able to elicit user preferences through multi-turn dialogues. They typically incorporate external knowledge and pre-trained language models to capture the dialogue context. Most CRS approaches, trained on ...