RecBole has recently attracted increasing attention from the research community. As the increase of the number of users, we have received a number of suggestions and update requests. This motivates us to make some significant improvements on our library, so as to meet the user requirements and contribute to the research community. In order to show the recent update in RecBole, we write this technical report to introduce our latest improvements on RecBole. In general, we focus on the flexibility and efficiency of RecBole in the past few months. More specifically, we have four development targets: (1) more flexible data processing, (2) more efficient model training, (3) more reproducible configurations, and (4) more comprehensive user documentation. Readers can download the above updates at: https://github.com/RUCAIBox/RecBole.
@article{arxiv.2211.15148,
title = {Recent Advances in RecBole: Extensions with more Practical Considerations},
author = {Lanling Xu and Zhen Tian and Gaowei Zhang and Lei Wang and Junjie Zhang and Bowen Zheng and Yifan Li and Yupeng Hou and Xingyu Pan and Yushuo Chen and Wayne Xin Zhao and Xu Chen and Ji-Rong Wen},
journal= {arXiv preprint arXiv:2211.15148},
year = {2022}
}