| Fairness and Transparency in Recommendation: The Users' Perspective JJ Smith, N Sonboli, FC Berenfus, R Burke, C Fiesler Proceedings of the 29th ACM Conference on User Modeling, Adaptation and …, 2021 | 77* | 2021 |
| Integrating Ethics into Introductory Programming Classes C Fiesler, M Friske, N Garrett, F Muzny, JJ Smith, J Zietz Proceedings of the 52nd ACM Technical Symposium on Computer Science …, 2021 | 59 | 2021 |
| Investigating potential factors associated with gender discrimination in collaborative recommender systems M Mansoury, H Abdollahpouri, J Smith, A Dehpanah, M Pechenizkiy, ... Proceedings of the 33rd International FLAIRS Conference, 2020 | 36 | 2020 |
| REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research JJ Smith, S Amershi, S Barocas, H Wallach, JW Vaughan Proceedings of the 5th ACM Conference on Fairness, Accountability, and …, 2022 | 32 | 2022 |
| Incorporating Ethics in Computing Courses: Perspectives from Educators JJ Smith, BH Payne, S Klassen, DT Doyle, C Fiesler Proceedings of the 54th ACM Technical Symposium on Computing Science …, 2022 | 26* | 2022 |
| Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners’ Perspective JJ Smith, L Beattie, H Cramer Proceedings of the ACM Web Conference 2023, 3648-3659, 2023 | 17 | 2023 |
| RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter’s Home Timeline VW Anelli, A Delić, G Sottocornola, J Smith, N Andrade, L Belli, ... Fourteenth ACM Conference on Recommender Systems, 623-627, 2020 | 17 | 2020 |
| Exploring User Opinions of Fairness in Recommender Systems J Smith, N Sonboli, C Fiesler, R Burke Fair and Responsible AI Workshop at Proceedings of the 2020 CHI Conference …, 2020 | 17 | 2020 |
| Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline L Belli, SI Ktena, A Tejani, A Lung-Yut-Fon, F Portman, X Zhu, Y Xie, ... arXiv preprint arXiv:2004.13715, 2020 | 16 | 2020 |
| Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline L Belli, SI Ktena, A Tejani, A Lung-Yut-Fon, F Portman, X Zhu, Y Xie, ... arXiv e-prints, arXiv: 2004.13715, 2020 | 14 | 2020 |
| The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation JJ Smith, A Buhayh, A Kathait, P Ragothaman, N Mattei, R Burke, A Voida | 13 | 2023 |
| Recommender Systems and Algorithmic Hate JJ Smith, L Jayne, R Burke Proceedings of the 16th ACM Conference on Recommender Systems, 592-597, 2022 | 11 | 2022 |
| P4KxSpotify: A Dataset of Pitchfork Music Reviews and Spotify Musical Features AT Pinter, JM Paul, J Smith, JR Brubaker Proceedings of the International AAAI Conference on Web and Social Media 14 …, 2020 | 8 | 2020 |
| RecSys Fairness Metrics: Many to Use But Which One To Choose? JJ Smith, L Beattie arXiv preprint arXiv:2209.04011, 2022 | 5 | 2022 |
| Recommend Me? Designing Fairness Metrics with Providers JJ Smith, A Satwani, R Burke, C Fiesler The 2024 ACM Conference on Fairness, Accountability, and Transparency, 2389-2399, 2024 | 1 | 2024 |
| Developing a Human-Centered Framework for Transparency in Fairness-Aware Recommender Systems JJ Smith Proceedings of the 16th ACM Conference on Recommender Systems, 737-738, 2022 | | 2022 |
Robin BurkeUniversity of Colorado, Boulder在 colorado.edu 的电子邮件经过验证
