Balanced Neighborhoods for Multi-sided Fairness in Recommendation R Burke, N Sonboli, A Ordonez-Gauger ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT …, 2018 | 248 | 2018 |
Personalized fairness-aware re-ranking for microlending W Liu, J Guo, N Sonboli, R Burke, S Zhang Proceedings of the 13th ACM Conference on Recommender Systems, 467-471, 2019 | 82 | 2019 |
Fairness and Transparency in Recommendation: The Users' Perspective N Sonboli, JJ Smith, FC Berenfus, R Burke, C Fiesler Proceedings of the 29th ACM Conference on User Modeling, Adaptation and …, 2021 | 77 | 2021 |
Opportunistic Multi-aspect Fairness through Personalized Re-ranking N Sonboli, F Eskandanian, R Burke, W Liu, B Mobasher Proceedings of the 28th ACM Conference on User Modeling, Adaptation and …, 2020 | 49 | 2020 |
Crank up the volume: preference bias amplification in collaborative recommendation N Sonboli, K Lin, B Mobasher, R Burke RMSE: Workshop on Recommendation in Multistakeholder Environments held in …, 2019 | 32* | 2019 |
The multisided complexity of fairness in recommender systems N Sonboli, R Burke, M Ekstrand, R Mehrotra AI Magazine 43 (2), 164-176, 2022 | 30 | 2022 |
Calibration in Collaborative Filtering Recommender Systems: a User-Centered Analysis K Lin, N Sonboli, B Mobasher, R Burke Proceedings of the 31st ACM Conference on Hypertext and Social Media, 197-206, 2020 | 23 | 2020 |
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems F Eskandanian, N Sonboli, B Mobasher Proceedings of the 27th ACM Conference on User Modeling, Adaptation and …, 2019 | 21 | 2019 |
Data Science Summer Academy for Chicago Public School Students B Mobasher, L Dettori, D Raicu, R Settimi, N Sonboli, M Stettler ACM SIGKDD Explorations Newsletter 21 (1), 49-52, 2019 | 21 | 2019 |
Exploring User Opinions of Fairness in Recommender Systems J Smith, N Sonboli, C Fiesler, R Burke Human-Centered Approach to Fair & Responsible AI Workshop at CHI 2020, 2020 | 17 | 2020 |
" And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation N Sonboli, R Burke, N Mattei, F Eskandanian, T Gao 3rd FAccTRec Workshop: Responsible Recommendation in conjunction with the …, 2020 | 16 | 2020 |
Localized Fairness in Recommender Systems N Sonboli, R Burke FairUMAP 2019 Workshop - Adjunct Publication of the 27th Conference on User …, 2019 | 15 | 2019 |
librec-auto: A Tool for Recommender Systems Experimentation N Sonboli, M Mansoury, Z Guo, S Kadekodi, W Liu, Z Liu, A Schwartz, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 13 | 2021 |
Algorithmic Fairness, Institutional Logics, and Social Choice R Burke, A Voida, N Mattei, N Sonboli AI for Social Good Harvard CRCS Workshop, IJCAI 2020, 2020 | 13 | 2020 |
Inferring user expertise from social tagging in music recommender systems for streaming services D Sánchez-Moreno, MN Moreno-García, N Sonboli, B Mobasher, R Burke Hybrid Artificial Intelligent Systems: 13th International Conference, HAIS …, 2018 | 13 | 2018 |
Multi-agent Social Choice for Dynamic Fairness-aware Recommendation R Burke, N Mattei, V Grozin, A Voida, N Sonboli Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation …, 2022 | 12 | 2022 |
Using Social Tag Embedding in a Collaborative Filtering Approach for Recommender Systems D Sánchez-Moreno, MN Moreno-García, N Sonboli, B Mobasher, R Burke 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and …, 2020 | 12 | 2020 |
Towards Confidence-aware Calibrated Recommendation M Naghiaei, HA Rahmani, M Aliannejadi, N Sonboli Proceedings of the 31st ACM International Conference on Information …, 2022 | 11 | 2022 |
Fairness-aware Recommendation with librec-auto N Sonboli, R Burke, Z Liu, M Mansoury Proceedings of the 14th ACM Conference on Recommender Systems, 594-596, 2020 | 11 | 2020 |
Synthetic Attribute Data for Evaluating Consumer-side Fairness R Burke, J Kontny, N Sonboli 2nd FATREC 2018 Workshop: Responsible Recommendation held in conjunction …, 2018 | 11 | 2018 |