crslab

We have hosted the application crslab in order to run this application in our online workstations with Wine or directly.

Quick description about crslab:

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS). It is developed based on Python and PyTorch. CRSLab has the following highlights. Comprehensive benchmark models and datasets: We have integrated commonly-used 6 datasets and 18 models, including graph neural network and pre-training models such as R-GCN, BERT and GPT-2. We have preprocessed these datasets to support these models, and release for downloading. Extensive and standard evaluation protocols: We support a series of widely-adopted evaluation protocols for testing and comparing different CRS. General and extensible structure: We design a general and extensible structure to unify various conversational recommendation datasets and models, in which we integrate various built-in interfaces and functions for quickly development. Easy to get started: We provide simple yet flexible configuration for new researchers to quickly start in our library. Human-machine interaction interfaces.

Features:

• Extensive and standard evaluation protocols
• Human-machine interaction interfaces
• Easy to get started
• General and extensible structure
• Comprehensive benchmark models and datasets
• CRSLab requires Python version 3.6 or later

Programming Language: Python.
Categories: