Graph Sampling based Fairness-aware Recommendation over Sensitive Attribute Removal-Reference-Cited by-同舟云学术

Graph Sampling based Fairness-aware Recommendation over Sensitive Attribute Removal

Published:2023-12-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Data Mining (ICDM)
language:
Short-container-title:

Author:

Liu Shenghao¹,Wu Guoyang¹,Deng Xianjun¹,Lu Hongwei¹,Wang Bang²,Yang Laurence¹,Park James J.³

Affiliation:

1. Huazhong University of Science and Technology,Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering,Wuhan,China,430074

2. Huazhong University of Science and Technology,Hubei Key Laboratory of Smart Internet Technology, School of Electronic Information and Communications,Wuhan,China,430074

3. Seoul National University of Science and Technology,Department of Computer Science and Engineering,Seoul,Korea,01811

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10415628/10415561/10415700.pdf?arnumber=10415700

Reference39 articles.

1. Deep learning

2. Exploring author gender in book rating and recommendation

3. All the cool kids, how do they fit in?: Popularity and demographic biases in recommender evaluation and effectiveness;Ekstrand

4. Discrimination in online ad delivery

5. Learning Fair Representations for Recommendation: A Graph-based Perspective

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Heterogeneous Interactive Graph Network for Audio–Visual Question Answering;Knowledge-Based Systems;2024-09