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

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

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

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arxiv 2402.15591 v1 pith:PWRNV3G5 submitted 2024-02-23 cs.IR cs.AI

Zeyuan Zhang , Tanmay Laud , Zihang He , Xiaojie Chen , Xinshuang Liu , Zhouhang Xie , Julian McAuley , Zhankui He This is my paper · ORCID

classification cs.IRcs.AI

keywords recwizardinteractivemodelsconversationalgithubinterfacemodularportable

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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.

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