RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface
This toolkit addresses the need for easier development of conversational recommender systems for researchers, though it is incremental as it builds on existing ecosystems like Huggingface.
The authors introduced RecWizard, a Python toolkit for building conversational recommender systems that is modular, portable, and integrates with large language models to simplify research and development.
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.