CRSLab
Visit ToolCRSLab is an open-source toolkit for building Conversational Recommender Systems (CRS). It provides comprehensive benchmark models, datasets, and evaluation protocols for researchers and developers.
At a glance
Trending
CRSLab is an open-source toolkit for building Conversational Recommender Systems (CRS). It provides comprehensive benchmark models, datasets, and evaluation protocols for researchers and developers.
Trending
About
CRSLab is an open-source toolkit designed for building Conversational Recommender Systems (CRS), developed using Python and PyTorch. It offers a robust framework with comprehensive benchmark models and datasets, including graph neural network and pre-training models like R-GCN, BERT, and GPT-2. The toolkit supports extensive and standard evaluation protocols for testing and comparing different CRS, and features a general and extensible structure for unifying various conversational recommendation datasets and models. CRSLab also provides human-machine interaction interfaces for qualitative analysis, making it easy for new researchers to get started with flexible configurations.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending