RecBole is a famous Chinese judge of qianlima (swift horse) in Spring and Autumn period.
We are a young and dynamic team. Most of the team members come from AI Box. Our goal is to promote the development of open source framework in recommender systems, and we are also looking for new blood to join us.
Shanlei Mu | Core Developer | Master of Renmin University of China |
Yupeng Hou | Core Developer | Master of Renmin University of China |
Zihan Lin | Core Developer | Master of Renmin University of China |
Kaiyuan Li | Core Developer | Master of Beijing University of Posts and Telecommunications |
Yushuo Chen | Core Developer | Master of Renmin University of China |
Yujie Lu | Core Developer | Master of Liaoning University |
Hui Wang | Core Developer | Master of Renmin University of China |
Changxin Tian | Core Developer | Master of Renmin University of China |
Xingyu Pan | Core Developer | Master of Renmin University of China |
Yingqian Min | Developer | Master of Renmin University of China |
Zhichao Feng | Developer | Undergraduate of Beijing University of Posts and Telecommunications |
Xinyan Fan | Developer | Master of Renmin University of China |
Yaqing Dai | Developer | Master of Beijing University of Posts and Telecommunications |
Jingsen Zhang | Participant | Master of Renmin University of China |
Gaole He | Participant | Master of Renmin University of China |
Shuqing Bian | Participant | Doctor of Renmin University of China |
Kaizhou Zhang | Participant | Master of Beijing University of Posts and Telecommunications |
Jin Huang | Participant | Doctor of University of Amsterdam |
If you have any question about the library, please open an issue in the GitHub repo.
You may contact the developers
through
recbole(@)outlook.com
RecBole is released under the MIT License. All the codes and data in this project should be used for academic purpose only.
Your contribution is important to us! We are always looking for the developers that contribute core code or specific algorithms to the RecBole Project. As being a contributor of RecBole project, you will work with a number of professors and students as an amazing team. Let us work together to promote the development of open source framework in recommender systems. If you would like to be a contributor to RecBole, please send your resume to the email address recbole(@)outlook.com.
We thank Chen Yang, Chenzhan Shang, Zheng Gong and Zhen Zhang for their contribution to collect the data and test the models in our library. We also thank Zihan Song and Ze Zhang for verifying the correctness of the model implementation. This work was partially supported by the National Natural Science Foundation of China under Grant No. 61872369, 61802029 and 61972155, Beijing Outstanding Young Scientist Program under Grant No. BJJWZYJH012019100020098, and Beijing Academy of Artificial Intelligence (BAAI).
If you find RecBole useful for your research or development, please cite the following papers: RecBole[1.0], RecBole[2.0] and RecBole[1.1.1].