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- [1] Fairness and Transparency in Music Recommender Systems: Improvements for Artists PROCEEDINGS OF THE EIGHTEENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2024, 2024, : 1368 - 1375
- [2] Perception of Fairness in Group Music Recommender Systems IUI '21 - 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES, 2021, : 302 - 306
- [3] DeepFair: Deep Learning for Improving Fairness in Recommender Systems INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, 2021, 6 (06): : 86 - 94
- [4] Fairness in Music Recommender Systems: A Stakeholder-Centered Mini Review FRONTIERS IN BIG DATA, 2022, 5
- [5] Developing a Human-Centered Framework for Transparency in Fairness-Aware Recommender Systems PROCEEDINGS OF THE 16TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2022, 2022, : 737 - 738
- [6] Fairness Explanations in Recommender Systems PROCEEDINGS OF THE EIGHTEENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2024, 2024, : 1353 - 1354
- [7] User Fairness in Recommender Systems COMPANION PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2018 (WWW 2018), 2018, : 101 - 102
- [8] Localized Fairness in Recommender Systems ADJUNCT PUBLICATION OF THE 27TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (ACM UMAP '19 ADJUNCT), 2019, : 295 - 300