RUCAIBox/CRSLab
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
This toolkit helps researchers and practitioners build and evaluate conversational AI systems that recommend items to users. It takes in conversational data and item catalogs, then outputs models that can have natural language interactions to suggest products, movies, or other items. This is designed for AI/ML researchers, data scientists, or product developers working on advanced recommendation engines.
552 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need a comprehensive platform to experiment with and benchmark different conversational recommender system models and datasets.
Not ideal if you are a business user looking for a no-code solution or a ready-to-deploy, off-the-shelf conversational AI product.
Stars
552
Forks
116
Language
Python
License
MIT
Category
Last pushed
Apr 12, 2024
Commits (30d)
0
Dependencies
13
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