Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis-Reference-Cited by-同舟云学术

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Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis

Published:2024-08-24 Issue: Volume:41 Page:4143-4154
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
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Author:

Zhang Dacao¹^ORCID,Zhang Kun¹^ORCID,Wu Le²^ORCID,Tian Mi¹^ORCID,Hong Richang²^ORCID,Wang Meng¹^ORCID

Affiliation:

1. School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui, China

2. School of Computer Science and Information Engineering, Hefei University of Technology & Institute of Dataspace, Hefei Comprehensive National Science Center, Hefei, Anhui, China

Funder

National Natural Science Foundation of China

National Science and Technology Major Project

Joint Funds of the National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3672049

Reference60 articles.

1. Hengyao Bao, Xihua Li, Xuemin Zhao, and Yunbo Cao. 2021. Exploring Student Representation For Neural Cognitive Diagnosis. arXiv preprint arXiv:2111.08951 (2021).

2. Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning

3. Peter M Blau and Otis Dudley Duncan. 1967. The American occupational structure. (1967).

4. Avishek Bose and William Hamilton. 2019. Compositional fairness constraints for graph embeddings. In International Conference on Machine Learning. PMLR, 715--724.

5. Bias and debias in recommender system: A survey and future directions;Chen Jiawei;ACM Transactions on Information Systems,2023

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