ML Anthology

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 J. McAuley, Zhankui He
AAAI 2024 pp. 23856-23858
doi:10.1609/AAAI.V38I21.30588 /aaai/2024/zhang2024aaai-recwizard/

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.

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Cite

Text

Zhang et al. "RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I21.30588

Markdown

[Zhang et al. "RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/zhang2024aaai-recwizard/) doi:10.1609/AAAI.V38I21.30588

BibTeX

@inproceedings{zhang2024aaai-recwizard,
  title     = {{RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface}},
  author    = {Zhang, Zeyuan and Laud, Tanmay and He, Zihang and Chen, Xiaojie and Liu, Xinshuang and Xie, Zhouhang and McAuley, Julian J. and He, Zhankui},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {23856-23858},
  doi       = {10.1609/AAAI.V38I21.30588},
  url       = {https://mlanthology.org/aaai/2024/zhang2024aaai-recwizard/}
}