复现用户导向公平推荐方法，确保结果可验证。
Reproducibility Companion Paper:In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems
- 复现先前提出的用户约束主导集方法
- 详细公开数据处理与实验配置信息
- 适合关注推荐系统公平性研究者参考
本文复现了我们早期在第31届ACM多媒体会议发表的工作《基于用户约束主导集的用户导向公平推荐方法》中的实验结果，旨在验证该方法的有效性并提供可复现性指导。文中详述了数据预处理流程、源代码结构、配置文件设置、实验环境以及复现后的实验结果，确保研究过程透明可追溯。
原文摘要 · Abstract (English)
In this paper, we reproduce experimental results presented in our earlier work titled "In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems" that was presented in the proceeding of the 31st ACM International Conference on Multimedia.This work aims to verify the effectiveness of our previously proposed method and provide guidance for reproducibility. We present detailed descriptions of our preprocessed datasets, the structure of our source code, configuration file settings, experimental environment, and the reproduced experimental results.
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