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S. Fatahi, M. Mousavifar, and J. Vassileva. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, page 66-77. ACM, (June 2023)
Z. Hu, N. Mauro, G. Petrone, and L. Ardissono. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, page 46-53. ACM, (June 2023)
M. Chatti, M. Guesmi, L. Vorgerd, T. Ngo, S. Joarder, Q. Ain, and A. Muslim. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 254-264. ACM, (July 2022)Several detail-levels of explanations and their match to individual differences.
D. Zaken, A. Segal, D. Cavalier, G. Shani, and K. Gal. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 69-78. ACM, (July 2022)
K. Gajos, and L. Mamykina. 27th International Conference on Intelligent User Interfaces, page 794-806. ACM, (March 2022)Interesting.. Explanations could help you to choose for yourself and learn. Just like we do in MG.
R. Yu, Z. Pardos, H. Chau, and P. Brusilovsky. Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, page 238-245. ACM, (June 2021)
N. Sonboli, J. Smith, F. Berenfus, R. Burke, and C. Fiesler. Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, page 274-279. ACM, (June 2021)How to explain recommendations that are generated from fairness prospect?.
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