| 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 | 93 | 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 | 46 | 2019 |
| Recommender systems as multistakeholder environments H Abdollahpouri, R Burke, B Mobasher Proceedings of the 25th Conference on User Modeling, Adaptation and …, 2017 | 44 | 2017 |
| Towards Multi-Stakeholder Utility Evaluation of Recommender Systems. RD Burke, H Abdollahpouri, B Mobasher, T Gupta UMAP (Extended Proceedings), 2016 | 41 | 2016 |
| 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 | 27 | 2020 |
| Beyond personalization: Research directions in multistakeholder recommendation H Abdollahpouri, G Adomavicius, R Burke, I Guy, D Jannach, ... arXiv preprint arXiv:1905.01986, 2019 | 23 | 2019 |
| 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 | 19 | 2019 |
| 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 | 18 | 2019 |
| Educational recommendation with multiple stakeholders R Burke, H Abdollahpouri 2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops …, 2016 | 16 | 2016 |
| Patterns of Multistakeholder Recommendation R Burke, H Abdollahpouri VAMS@RecSys'17 workshop on value-aware and multistakeholder recommendation, 2017 | 11 | 2017 |
| 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 | 8 | 2019 |
| Popularity Bias in Ranking and Recommendation H Abdollahpouri Conference on AI, Ethic and Society (AIES'19), 2019 | 8 | 2019 |
| An approach for personalization of banking services in multi-channel environment using memory-based collaborative filtering H Abdollahpouri, A Abdollahpouri The 5th Conference on Information and Knowledge Technology, 208-213, 2013 | 8 | 2013 |
| Multiple stakeholders in music recommender systems H Abdollahpouri, S Essinger VAMS@RecSys'17 workshop on value-aware and multistakeholder recommendation, 2017 | 7 | 2017 |
| Vams 2017: Workshop on value-aware and multistakeholder recommendation R Burke, G Adomavicius, I Guy, J Krasnodebski, L Pizzato, Y Zhang, ... Proceedings of the Eleventh ACM Conference on Recommender Systems, 378-379, 2017 | 6 | 2017 |
| Multi-sided Exposure Bias in Recommendation H Abdollahpouri, M Mansoury ACM KDD Workshop on Industrial Recommendation, 2020 | 5 | 2020 |
| 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 | 4 | 2020 |
| 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 | 4 | 2020 |
| Recommendation in multistakeholder environments R Burke, H Abdollahpouri, EC Malthouse, KP Thai, Y Zhang Proceedings of the 13th ACM Conference on Recommender Systems, 566-567, 2019 | 4 | 2019 |
| Towards Effective Exploration/Exploitation in Sequential Music Recommendation H Abdollahpouri, S Essinger RecSys posters, 2017 | 4 | 2017 |
Robin BurkeUniversity of Colorado, BoulderVerified email at colorado.edu
