| 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 | 57 | 2018 |
| Balanced Neighborhoods for Fairness-aware Collaborative Recommendation R Burke, N Sonboli, M Mansoury, A Ordoñez-Gauger 1st FATREC 2017 Workshop on Responsible Recommendation held in conjunction …, 2017 | 15 | 2017 |
| 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 | 12 | 2019 |
| 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 International Conference on Hybrid Artificial Intelligence Systems, 39-49, 2018 | 6 | 2018 |
| 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 | 5* | 2019 |
| 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 | 5 | 2019 |
| Synthetic Attribute Data for Evaluating Consumer-side Fairness R Burke, J Kontny, N Sonboli 2nd FATREC 2018 Workshop: Responsible Recommendation held in conjunction …, 2018 | 4 | 2018 |
| 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 | 3 | 2020 |
| 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 | 3 | 2020 |
| 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 | 3 | 2020 |
| Localized Fairness in Recommender Systems N Sonboli, R Burke FairUMAP 2019 Workshop - Adjunct Publication of the 27th Conference on User …, 2019 | 3 | 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 | 2 | 2019 |
| Experimentation with fairness-aware recommendation using librec-auto: hands-on tutorial RD Burke, M Mansoury, N Sonboli Proceedings of the ACM Conference on Fairness, Accountability, and …, 2020 | 1 | 2020 |
| Fairness and Transparency in Recommendation: The Users' Perspective N Sonboli, JJ Smith, FC Berenfus, R Burke, C Fiesler Proceedings of the 29th Conference on User Modeling, Adaptation and …, 2021 | | 2021 |
| 3rd FAccTRec Workshop: Responsible Recommendation MD Ekstrand, PN Schwab, J Garcia-Gathright, T Kamishima, N Sonboli Fourteenth ACM Conference on Recommender Systems, 607-608, 2020 | | 2020 |
| Fairness-aware Recommendation with librec-auto N Sonboli, R Burke, Z Liu, M Mansoury Fourteenth ACM Conference on Recommender Systems, 594-596, 2020 | | 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 | | 2020 |
| 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 | | 2020 |
| Fairness-Aware Recommendation Systems N Sonboli, R Burke Poster Abstract in The Thirty-First International FLAIRS Conference, 2018 | | 2018 |
| Using Social Tag Embedding in a Collaborative Filtering Approach for Recommender Systems D Sánchez-Moreno, MN Moreno-García, B Mobasher, N Sonboli, R Burke | | |
Robin BurkeUniversity of Colorado, BoulderVerified email at colorado.edu
