Jessie Smith

According to our database, Jessie Smith authored at least 15 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners' Perspective.

Jessie J. Smith, Lex Beattie, Henriette Cramer

Proceedings of the ACM Web Conference 2023, 2023

Incorporating Ethics in Computing Courses: Barriers, Support, and Perspectives from Educators.

Jessie J. Smith, Blakeley H. Payne, Shamika Klassen, Dylan Thomas Doyle, Casey Fiesler

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation.

Jessie J. Smith, Anas Buhayh, Anushka Kathait, Pradeep Ragothaman, Nicholas Mattei, Robin Burke, Amy Voida

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Incorporating Ethics in Computing Courses: Perspectives from Educators.

Jessie J. Smith, Blakeley H. Payne, Shamika Klassen, Dylan Thomas Doyle, Casey Fiesler

CoRR, 2022

RecSys Fairness Metrics: Many to Use But Which One To Choose?

Jessie J. Smith, Lex Beattie

CoRR, 2022

Recommender Systems and Algorithmic Hate.

Jessie J. Smith, Lucia Jayne, Robin Burke

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Developing a Human-Centered Framework for Transparency in Fairness-Aware Recommender Systems.

Jessie J. Smith

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research.

Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna M. Wallach, Jennifer Wortman Vaughan

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Fairness and Transparency in Recommendation: The Users' Perspective.

Nasim Sonboli, Jessie J. Smith, Florencia Cabral Berenfus, Robin Burke, Casey Fiesler

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

Integrating Ethics into Introductory Programming Classes.

Casey Fiesler, Mikhaila Friske, Natalie Garrett, Felix Muzny, Jessie J. Smith, Jason Zietz

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

2020

Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.

Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fong, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael M. Bronstein, Amra Delic, Gabriele Sottocornola, Vito Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi

CoRR, 2020

Exploring User Opinions of Fairness in Recommender Systems.

Jessie Smith, Nasim Sonboli, Casey Fiesler, Robin Burke

CoRR, 2020

RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline.

Vito Walter Anelli, Amra Delic, Gabriele Sottocornola, Jessie Smith, Nazareno Andrade, Luca Belli, Michael M. Bronstein, Akshay Gupta, Sofia Ira Ktena, Alexandre Lung-Yut-Fong, Frank Portman, Alykhan Tejani, Yuanpu Xie, Xiao Zhu, Wenzhe Shi

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

P4KxSpotify: A Dataset of Pitchfork Music Reviews and Spotify Musical Features.

Anthony T. Pinter, Jacob M. Paul, Jessie Smith, Jed R. Brubaker

Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems.

Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020