Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems

• URL: http://arxiv.org/abs/2503.23032v1
• Date: Sat, 29 Mar 2025 10:25:49 GMT
• Title: Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems
• Authors: Yuyuan Li, Junjie Fang, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han,
• Abstract summary: This paper aims to validate the effectiveness of our proposed method and help others reproduce our experimental results.<n>We provide detailed descriptions of our preprocessed datasets, source code structure, configuration file settings, experimental environment, and reproduced experimental results.
• Score: 17.63213159554141
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In this paper, we reproduce the experimental results presented in our previous work titled "Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems," which was published in the proceedings of the 31st ACM International Conference on Multimedia. This paper aims to validate the effectiveness of our proposed method and help others reproduce our experimental results. We provide detailed descriptions of our preprocessed datasets, source code structure, configuration file settings, experimental environment, and reproduced experimental results.

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