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…
Award-winning data science platform for open technologies: Pig, Python, MongoDB and more. Easily run a custom recommender system, analyze logs, or do NLP.
M. Ferrari Dacrema, P. Cremonesi, и D. Jannach. Proceedings of the 13th ACM Conference on Recommender Systems, стр. 101–109. New York, NY, USA, Association for Computing Machinery, (2019)
Z. Hu, N. Mauro, G. Petrone, и L. Ardissono. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, стр. 46-53. ACM, (June 2023)
C. Feely, B. Caulfield, A. Lawlor, и B. Smyth. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, стр. 183-193. ACM, (June 2023)
T. Tran, A. Felfernig, V. Le, T. Chau, и T. Mai. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, стр. 54-65. ACM, (June 2023)Who and when needs explanations?.
J. Costa, L. Marinho, R. Santos, и D. Parra. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, стр. 175-182. ACM, (June 2023)
S. Fatahi, M. Mousavifar, и J. Vassileva. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, стр. 66-77. ACM, (June 2023)
K. Gajos, и L. Mamykina. 27th International Conference on Intelligent User Interfaces, стр. 794-806. ACM, (March 2022)Interesting.. Explanations could help you to choose for yourself and learn. Just like we do in MG.