It recently came to my attention that I was waging a war across multiple fronts and fatigue had struck — they were winning. For months I had battled, fighting their persistence with my propensity to click x.
Recommender systems provide users with content they might be interested in. Conventionally, recommender systems are evaluated mostly by using prediction accuracy metrics only. But, the ultimate goal of a recommender system is to increase user satisfaction.
Talk with Yves Raimond at the GPU Tech Conference on Marth 28, 2018 in San Jose, CA. Abstract: In this talk, we will survey how Deep Learning methods can be ap…
M. Ferrari Dacrema, P. Cremonesi, and D. Jannach. Proceedings of the 13th ACM Conference on Recommender Systems, page 101–109. New York, NY, USA, Association for Computing Machinery, (2019)
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)
C. Feely, B. Caulfield, A. Lawlor, and B. Smyth. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, page 183-193. ACM, (June 2023)
T. Tran, A. Felfernig, V. Le, T. Chau, and T. Mai. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, page 54-65. ACM, (June 2023)Who and when needs explanations?.
J. Costa, L. Marinho, R. Santos, and D. Parra. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, page 175-182. ACM, (June 2023)
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)
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.