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

Authors :
Zhang, Zeyuan
Laud, Tanmay
He, Zihang
Chen, Xiaojie
Liu, Xinshuang
Xie, Zhouhang
McAuley, Julian
He, Zhankui
Publication Year :
2024

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.<br />Comment: AAAI'24 Demo Track

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2402.15591
Document Type :
Working Paper