Game-Shapley recommender system demonstration
收藏NIAID Data Ecosystem2026-03-13 收录
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Recommender system using Game-Shapley algorithm
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创建时间：
2021-12-23
相关数据集
Game-Shapley recommender system demonstration
Recommender system using Game-Shapley algorithm
Mendeley Data2024-03-27 更新100
Results of the Mann-Whitney U test and the t-test comparing the size of the class-1-blind spot for the three forms of iterated algorithmic bias with the Movielens data set.
The negative effect size indicates that filter bias leads to a bigger blind spot. Both random selection and active learning do not have a significant impact.
Figshare2020-08-13 更新50
How Fair is Your Diffusion Recommender Model? A Preliminary Investigation
Dataset for the experiments of the paper submission `How Fair is Your Diffusion Recommender Model? A Preliminary Investigation`. The included datasets are Foursquare Tokyo (FKTY), MovieLens 1M with al
NIAID Data Ecosystem30
Results of the Mann-Whitney U test and the t-test comparing the inequality of prediction for the three forms of iterated algorithmic bias with the Movielens data set.
The negative effect size indicates that filter bias leads to high inequality of relevance prediction. Both random selection and active learning significant decrease on the inequality.
NIAID Data Ecosystem60
Companion of the Improving Fairness in a Large Scale HTC System Through Workload Analysis and Simulation article
This archive is an experimental artifact associated to the paper entitled "Improving Fairness in a Large Scale HTC System Through Workload Analysis and Simulation" published in the proceedings of the
DataCite Commons2020-08-27 更新50
