A unified, comprehensive and efficient recommendation library
RecBole is developed based on Python and PyTorch for reproducing and developing recommendation algorithms in a unified, comprehensive and efficient framework for research purpose. In the first version, our library includes 53 recommendation algorithms, covering four major categories: General Recommendation, Sequential Recommendation, Context-aware Recommendation and Knowledge-based Recommendation.
