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Customized Conversational Recommender Systems

Conversational recommender systems (CRS) aim to capture user's current intentions and provide recommendations through real-time multi-turn conversational interactions.

Data and Resources

Cite this as

Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong (2024). Dataset: Customized Conversational Recommender Systems. https://doi.org/10.57702/f5zsi7pc

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2207.00814
Author Shuokai Li
More Authors
Yongchun Zhu
Ruobing Xie
Zhenwei Tang
Zhao Zhang
Fuzhen Zhuang
Qing He
Hui Xiong
Homepage https://arxiv.org/abs/2106.00957