| 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 | 47 | 2017 |
| Towards Multi-Stakeholder Utility Evaluation of Recommender Systems. RD Burke, H Abdollahpouri, B Mobasher, T Gupta UMAP (Extended Proceedings), 2016 | 30 | 2016 |
| Recommender systems as multistakeholder environments H Abdollahpouri, R Burke, B Mobasher Proceedings of the 25th Conference on User Modeling, Adaptation and …, 2017 | 26 | 2017 |
| Educational recommendation with multiple stakeholders R Burke, H Abdollahpouri 2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops …, 2016 | 13 | 2016 |
| Beyond Personalization: Research Directions in Multistakeholder Recommendation H Abdollahpouri, G Adomavicius, R Burke, I Guy, D Jannach, ... arXiv preprint arXiv:1905.01986, 2019 | 12 | 2019 |
| 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 | 10 | 2019 |
| Patterns of Multistakeholder Recommendation R Burke, H Abdollahpouri VAMS@RecSys'17 workshop on value-aware and multistakeholder recommendation, 2017 | 8 | 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 |
| Multiple stakeholders in music recommender systems H Abdollahpouri, S Essinger VAMS@RecSys'17 workshop on value-aware and multistakeholder recommendation, 2017 | 6 | 2017 |
| 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 | 5 | 2013 |
| Towards Effective Exploration/Exploitation in Sequential Music Recommendation H Abdollahpouri, S Essinger RecSys posters, 2017 | 4 | 2017 |
| 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 | 3 | 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 | 3 | 2019 |
| Popularity Bias in Ranking and Recommendation H Abdollahpouri Conference on AI, Ethic and Society (AIES'19), 2019 | 3 | 2019 |
| 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 | 1 | 2019 |
| Incorporating System-Level Objectives into Recommender Systems H Abdollahpouri Companion Proceedings of The 2019 World Wide Web Conference, 2-6, 2019 | 1 | 2019 |
| Value-Aware Item Weighting for Long-Tail Recommendation. H Abdollahpouri, R Burke, B Mobasher | 1 | 2018 |
| Is Always a Hybrid Recommender System Preferable To Single Techniques? H Abdollahpouri, A Rahmani, A Abdollahpouri International Journal of Computer Applications 82 (4), 2013 | 1 | 2013 |
| The Relationship between the Consistency of Users' Ratings and Recommendation Calibration M Mansoury, H Abdollahpouri, J Rombouts, M Pechenizkiy arXiv preprint arXiv:1911.00852, 2019 | | 2019 |
| 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 | | 2019 |
Robin BurkeUniversity of Colorado, BoulderVerified email at colorado.edu
