Fairness-Aware Tensor-Based Recommendation
Author:
Affiliation:
1. Texas A&M University, College Station, TX, USA
Funder
DARPA
NSF
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3269206.3271795
Reference31 articles.
1. Controlling Popularity Bias in Learning-to-Rank Recommendation
2. Political polarization and the electoral effects of media bias
3. Algorithmic Decision Making and the Cost of Fairness
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1. FAER: Fairness-Aware Event-Participant Recommendation in Event-Based Social Networks;IEEE Transactions on Big Data;2024-10
2. Balanced Quality Score: Measuring Popularity Debiasing in Recommendation;ACM Transactions on Intelligent Systems and Technology;2024-07-29
3. Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10
4. Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10
5. Optimizing Neighborhoods for Fair Top-N Recommendation;Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-22
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