Distributionally-Informed Recommender System Evaluation

Article Properties
Abstract
Cite
Ekstrand, Michael D., et al. “Distributionally-Informed Recommender System Evaluation”. ACM Transactions on Recommender Systems, vol. 2, no. 1, 2024, pp. 1-27, https://doi.org/10.1145/3613455.
Ekstrand, M. D., Carterette, B., & Diaz, F. (2024). Distributionally-Informed Recommender System Evaluation. ACM Transactions on Recommender Systems, 2(1), 1-27. https://doi.org/10.1145/3613455
Ekstrand MD, Carterette B, Diaz F. Distributionally-Informed Recommender System Evaluation. ACM Transactions on Recommender Systems. 2024;2(1):1-27.
Refrences
Title Journal Journal Categories Citations Publication Date
Proceedings of the 1st Conference on Fairness, Accountability and Transparency 2018
10.3998/mpub.9739 1994
Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 2021
Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence 2007
Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence 1998
Citations
Title Journal Journal Categories Citations Publication Date
Systematic Literature Review on Recommender System: Approach, Problem, Evaluation Techniques, Datasets IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2024
Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation

ACM Transactions on Recommender Systems 2024