Introducing a framework and a decision protocol to calibrated recommender systems
Author:
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04681-7.pdf
Reference34 articles.
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2. Abdollahpouri H, Mansoury M, Burke R, Mobasher B (2020) The connection between popularity bias, calibration, and fairness in recommendation. In: Fourteenth ACM Conference on Recommender Systems. RecSys ’20, pp. 726–731. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3383313.3418487
3. Ji F, Wu J, Chiclana F, Wang S, Fujita H, Herrera-Viedma E (2023) The overlapping community driven feedback mechanism to support consensus in social network group decision making. IEEE Trans Fuzzy Syst 1–15. https://doi.org/10.1109/TFUZZ.2023.3241062
4. Xing Y, Wu J, Chiclana F, Yu G, Cao M, Herrera-Viedma E (2023) A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making. Information Fusion 93:363–382. https://doi.org/10.1016/j.inffus.2023.01.004
5. Abdollahpouri H, Burke R, Mobasher B (2017) Controlling popularity bias in learning-to-rank recommendation. In: Proceedings of the Eleventh ACM Conference on Recommender Systems. RecSys ’17, pp. 42–46. ACM, New York, NY, USA. https://doi.org/10.1145/3109859.3109912
Cited by 2 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. A Two-Stage Calibration Approach for Mitigating Bias and Fairness in Recommender Systems;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08
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