From post

Fairness and Transparency in Recommendation: The Users' Perspective

, , , , и . Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, стр. 274-279. ACM, (июня 2021)How to explain recommendations that are generated from fairness prospect?.
DOI: 10.1145/3450613.3456835

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

RecSys Fairness Metrics: Many to Use But Which One To Choose?, и . CoRR, (2022)Fairness and Transparency in Recommendation: The Users' Perspective., , , , и . UMAP, стр. 274-279. ACM, (2021)The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation., , , , , , и . FAccT, стр. 1652-1663. ACM, (2023)Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners' Perspective., , и . WWW, стр. 3648-3659. ACM, (2023)Recommend Me? Designing Fairness Metrics with Providers., , , и . FAccT, стр. 2389-2399. ACM, (2024)Incorporating Ethics in Computing Courses: Barriers, Support, and Perspectives from Educators., , , , и . SIGCSE (1), стр. 367-373. ACM, (2023)Developing a Human-Centered Framework for Transparency in Fairness-Aware Recommender Systems.. RecSys, стр. 737-738. ACM, (2022)Recommender Systems and Algorithmic Hate., , и . RecSys, стр. 592-597. ACM, (2022)REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research., , , , и . FAccT, стр. 587-597. ACM, (2022)Integrating Ethics into Introductory Programming Classes., , , , , и . SIGCSE, стр. 1027-1033. ACM, (2021)