| All the cool kids, how do they fit in?: Popularity and demographic biases in recommender evaluation and effectiveness MD Ekstrand, M Tian, IM Azpiazu, JD Ekstrand, O Anuyah, D McNeill, ... Conference on fairness, accountability and transparency, 172-186, 2018 | 271 | 2018 |
| Exploring author gender in book rating and recommendation MD Ekstrand, M Tian, MRI Kazi, H Mehrpouyan, D Kluver Proceedings of the 12th ACM conference on recommender systems, 242-250, 2018 | 185 | 2018 |
| Estimating error and bias in offline evaluation results M Tian, MD Ekstrand Proceedings of the 2020 Conference on Human Information Interaction and …, 2020 | 11 | 2020 |
| Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation M Tian, C Guo, V Ostuni, Z Zhu arXiv preprint arXiv:2007.09798, 2020 | 8 | 2020 |
| Dynamic prediction of building HVAC energy consumption by ensemble learning approach W Tian, C Lei, M Tian 2018 International Conference on Computational Science and Computational …, 2018 | 7 | 2018 |
| Estimating error and bias of offline recommender system evaluation results M Tian | 2 | 2019 |
| Monte Carlo Estimates of Evaluation Metric Error and Bias M Tian, MD Ekstrand REVEAL 2018 Workshop on Offline Evaluation in Recommender Systems, 2018 | 1 | 2018 |
| Script for Estimating Error and Bias in Offline Evaluation Results M Tian, MD Ekstrand | | 2021 |
| Monte Carlo Estimates of Evaluation Metric Error and Bias: Work in Progress M Tian, MD Ekstrand | | 2018 |
Ion Madrazo AzpiazuResearch Assistant, Boise State University在 u.boisestate.edu 的电子邮件经过验证
