Papers by Chenzhan Shang
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System (2021.acl-demo)
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Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
| Challenge: | Existing studies on conversational recommender systems lack a unified and standardized implementation or comparison. |
| Approach: | They propose to use a unified framework and highly-decoupled modules to develop CRSs. |
| Outcome: | The proposed framework collects 6 commonly used human-annotated CRS datasets and implements 19 models that include advanced techniques such as graph neural networks and pre-training models. |