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Jessie J. Smith
Jessie J. Smith
Verified email at colorado.edu - Homepage
Title
Cited by
Cited by
Year
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
64*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
482021
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
322020
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
232022
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
15*2022
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
152020
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
152020
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
142020
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
122020
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
112023
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
82020
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
52023
Recommender Systems and Algorithmic Hate
JJ Smith, L Jayne, R Burke
Proceedings of the 16th ACM Conference on Recommender Systems, 592-597, 2022
42022
RecSys Fairness Metrics: Many to Use But Which One To Choose?
JJ Smith, L Beattie
arXiv preprint arXiv:2209.04011, 2022
32022
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
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