D. Zein, и C. da Costa Pereira. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 170-178. ACM, (июля 2022)
R. Legaspi, W. Xu, T. Konishi, S. Wada, и Y. Ishikawa. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 34-47. ACM, (июля 2022)
V. Robbemond, O. Inel, и U. Gadiraju. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 223-233. ACM, (июля 2022)
M. Chatti, M. Guesmi, L. Vorgerd, T. Ngo, S. Joarder, Q. Ain, и A. Muslim. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 254-264. ACM, (июля 2022)Several detail-levels of explanations and their match to individual differences.
P. Sanchez, и L. Dietz. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 132-142. ACM, (июля 2022)Assessing the value of RecSys you need to distinguish user types - and it can be done by clustering.
L. Steinert, F. Kölling, F. Putze, D. Küster, и T. Schultz. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 89-98. ACM, (июля 2022)Example of a patient focused recsys and evaluation.
T. Kleemann, B. Loepp, и J. Ziegler. Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 74-79. ACM, (июля 2022)
D. Zaken, A. Segal, D. Cavalier, G. Shani, и K. Gal. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 69-78. ACM, (июля 2022)
A. Majjodi, A. Starke, и C. Trattner. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 48-56. ACM, (июля 2022)Controversial results on decreasing value of recommendation....
G. Zhou, T. Umada, и S. D\textquotesingleMello. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 295-305. ACM, (2022)User tracing provide evidence of learning, but scalar parameters are better than sequences.