| Controlling popularity bias in learning-to-rank recommendation H Abdollahpouri, R Burke, B Mobasher Proceedings of the eleventh ACM conference on recommender systems, 42-46, 2017 | 428 | 2017 |
| Managing Popularity Bias in Recommender Systems with Personalized Re-ranking H Abdollahpouri, R Burke, B Mobasher The 32nd International FLAIRS Conference in Cooperation with AAAI, 2019 | 322 | 2019 |
| Multistakeholder recommendation: Survey and research directions H Abdollahpouri, G Adomavicius, R Burke, I Guy, D Jannach, ... User Modeling and User-Adapted Interaction, 1-32, 2020 | 267 | 2020 |
| The Unfairness of Popularity Bias in Recommendation H Abdollahpouri, M Mansoury, R Burke, B Mobasher Proceedings of the RMSE workshop at the ACM Recsys 2019, 2019 | 257 | 2019 |
| Feedback Loop and Bias Amplification in Recommender Systems M Mansoury, H Abdollahpouri, M Pechenizkiy, B Mobasher, R Burke 29th ACM International Conference on Information and Knowledge Management …, 2020 | 243 | 2020 |
| The connection between popularity bias, calibration, and fairness in recommendation H Abdollahpouri, M Mansoury, R Burke, B Mobasher Fourteenth ACM Conference on Recommender Systems, 726-731, 2020 | 131 | 2020 |
| Popularity Bias in Ranking and Recommendation H Abdollahpouri Conference on AI, Ethic and Society (AIES'19), 2019 | 104 | 2019 |
| User-centered Evaluation of Popularity Bias in Recommender Systems H Abdollahpouri, M Mansoury, R Burke, B Mobasher, E Malthouse 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021 | 101 | 2021 |
| Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness H Abdollahpouri, R Burke Proceedings of the RMSE workshop at the ACM Recsys 2019, 2019 | 97 | 2019 |
| Recommender systems as multistakeholder environments H Abdollahpouri, R Burke, B Mobasher Proceedings of the 25th Conference on User Modeling, Adaptation and …, 2017 | 91 | 2017 |
| Towards multi-stakeholder utility evaluation of recommender systems. RD Burke, H Abdollahpouri, B Mobasher, T Gupta UMAP (Extended Proceedings) 750, 2016 | 88 | 2016 |
| Multi-sided Exposure Bias in Recommendation H Abdollahpouri, M Mansoury ACM KDD Workshop on Industrial Recommendation, 2020 | 81 | 2020 |
| Beyond personalization: Research directions in multistakeholder recommendation H Abdollahpouri, G Adomavicius, R Burke, I Guy, D Jannach, ... arXiv preprint arXiv:1905.01986, 2019 | 64 | 2019 |
| FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems M Mansoury, H Abdollahpouri, M Pechenizkiy, B Mobasher, R Burke 28th Conference on User Modeling, Adaptation and Personalization (UMAP 2020), 2020 | 61 | 2020 |
| A graph-based approach for mitigating multi-sided exposure bias in recommender systems M Mansoury, H Abdollahpouri, M Pechenizkiy, B Mobasher, R Burke ACM Transactions on Information Systems (TOIS) 40 (2), 1-31, 2021 | 44 | 2021 |
| Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems M Mansoury, H Abdollahpouri, J Smith, A Dehpanah, M Pechenizkiy, ... 33rd FLAIRS Conference in Cooperation with AAAI (2020), 2020 | 34 | 2020 |
| The impact of popularity bias on fairness and calibration in recommendation H Abdollahpouri, M Mansoury, R Burke, B Mobasher arXiv preprint arXiv:1910.05755, 2019 | 30 | 2019 |
| Multistakeholder recommender systems H Abdollahpouri, R Burke Recommender systems handbook, 647-677, 2021 | 29 | 2021 |
| Popularity Bias in Recommendation: A Multi-stakeholder Perspective H Abdollahpouri PhD Dissertation, University of Colorado Boulder, 2020 | 29 | 2020 |
| Toward the Next Generation of News Recommender Systems H Abdollahpouri, E Malthouse, J Konstan, B Mobasher, J Gilbert Workshop on News Recommendation and Intelligence at WWW’21, 2021 | 26 | 2021 |
Robin BurkeUniversity of Colorado, Boulder在 colorado.edu 的电子邮件经过验证
