RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface

Zeyuan Zhang; Tanmay Laud; Zihang He; Xiaojie Chen; Xinshuang Liu; Zhouhang Xie; Julian McAuley; Zhankui He

RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface

Information Retrieval 2024-02-27 v1 Artificial Intelligence

Authors: Zeyuan Zhang , Tanmay Laud , Zihang He , Xiaojie Chen , Xinshuang Liu , Zhouhang Xie , Julian McAuley , Zhankui He

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Abstract

We present a new Python toolkit called RecWizard for Conversational Recommender Systems (CRS). RecWizard offers support for development of models and interactive user interface, drawing from the best practices of the Huggingface ecosystems. CRS with RecWizard are modular, portable, interactive and Large Language Models (LLMs)-friendly, to streamline the learning process and reduce the additional effort for CRS research. For more comprehensive information about RecWizard, please check our GitHub https://github.com/McAuley-Lab/RecWizard.

Cite

@article{arxiv.2402.15591,
  title  = {RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface},
  author = {Zeyuan Zhang and Tanmay Laud and Zihang He and Xiaojie Chen and Xinshuang Liu and Zhouhang Xie and Julian McAuley and Zhankui He},
  journal= {arXiv preprint arXiv:2402.15591},
  year   = {2024}
}

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RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface

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