Jessie Smith

Orcid: 0000-0003-4990-912X

According to our database1, Jessie Smith authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Recommend Me? Designing Fairness Metrics with Providers.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023
Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners' Perspective.
Proceedings of the ACM Web Conference 2023, 2023

Incorporating Ethics in Computing Courses: Barriers, Support, and Perspectives from Educators.
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.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022
Incorporating Ethics in Computing Courses: Perspectives from Educators.
CoRR, 2022

RecSys Fairness Metrics: Many to Use But Which One To Choose?
CoRR, 2022

Recommender Systems and Algorithmic Hate.
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.
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.
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.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

Integrating Ethics into Introductory Programming Classes.
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.
CoRR, 2020

Exploring User Opinions of Fairness in Recommender Systems.
CoRR, 2020

RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

P4KxSpotify: A Dataset of Pitchfork Music Reviews and Spotify Musical Features.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020


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