| 2025 | RecSys | Integrating Individual and Group Fairness for Recommender Systems through Social Choice. | Amanda Aird, Elena Stefancova, Anas Buhayh, Cassidy All, Martin Homola, Nicholas Mattei, Robin Burke |
| 2025 | WSDM | Proposal for Workshop on Trust and Responsibility in Recommendation Systems at WSDM 2025. | Xinghai Hu, Robin Burke, Xu Liu |
| 2024 | RecSys | Social Choice for Heterogeneous Fairness in Recommendation. | Amanda Aird, Elena Stefancova, Cassidy All, Amy Voida, Martin Homola, Nicholas Mattei, Robin Burke |
| 2024 | RecSys | Conducting Recommender Systems User Studies Using POPROX. | Robin Burke, Joseph A. Konstan, Michael D. Ekstrand |
| 2022 | RecSys | Recommender Systems and Algorithmic Hate. | Jessie J. Smith, Lucia Jayne, Robin Burke |
| 2022 | RecSys | FAccTRec 2022: The 5th Workshop on Responsible Recommendation. | Nasim Sonboli, Toshihiro Kamishima, Amifa Raj, Luca Belli, Robin Burke |
| 2021 | CIKM | librec-auto: A Tool for Recommender Systems Experimentation. | Nasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Andrew Schwartz, Robin Burke |
| 2021 | RecSys | SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research. | Michael D. Ekstrand, Allison Chaney, Pablo Castells, Robin Burke, David Rohde, Manel Slokom |
| 2021 | RecSys | Towards an Experimental News User Community as Infrastructure for Recommendation Research (abstract). | Joseph A. Konstan, Robin Burke, Edward C. Malthouse |
| 2020 | CIKM | Feedback Loop and Bias Amplification in Recommender Systems. | Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke |
| 2020 | RecSys | The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. | Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher |
| 2020 | RecSys | Fairness-aware Recommendation with librec-auto. | Nasim Sonboli, Robin Burke, Zijun Liu, Masoud Mansoury |
| 2019 | ECIR | Algorithm Selection with Librec-auto. | Masoud Mansoury, Robin Burke |
| 2019 | FlAIRS | Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. | Himan Abdollahpouri, Robin Burke, Bamshad Mobasher |
| 2019 | RecSys | Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness. | Himan Abdollahpouri, Robin Burke |
| 2019 | RecSys | The Unfairness of Popularity Bias in Recommendation. | Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher |
| 2019 | RecSys | Recommendation in multistakeholder environments. | Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang |
| 2019 | RecSys | RMSE: Workshop on Recommendation in Multi-stakeholder Environments. | Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang |
| 2019 | RecSys | Fairness and discrimination in recommendation and retrieval. | Michael D. Ekstrand, Robin Burke, Fernando Diaz |
| 2019 | RecSys | Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation. | Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke |
| 2019 | RecSys | Personalized fairness-aware re-ranking for microlending. | Weiwen Liu, Jun Guo, Nasim Sonboli, Robin Burke, Shengyu Zhang |
| 2019 | RecSys | A Multistakeholder Recommender Systems Algorithm for Allocating Sponsored Recommendations. | Edward C. Malthouse, Khadija Ali Vakeel, Yasaman Kamyab Hessary, Robin Burke, Morana Fuduric |
| 2019 | RecSys | Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. | Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy |
| 2019 | SIGIR | Fairness and Discrimination in Retrieval and Recommendation. | Michael D. Ekstrand, Robin Burke, Fernando Diaz |
| 2018 | HAIS | Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services. | Diego Snchez-Moreno, Mara N. Moreno Garca, Nasim Sonboli, Bamshad Mobasher, Robin Burke |
| 2018 | RecSys | Automating recommender systems experimentation with librec-auto. | Masoud Mansoury, Robin Burke, Aldo Ordonez-Gauger, Xavier Sepulveda |
| 2018 | RecSys | Multistakeholder recommendation with provider constraints. | zge Srer, Robin Burke, Edward C. Malthouse |
| 2017 | RecSys | Controlling Popularity Bias in Learning-to-Rank Recommendation. | Himan Abdollahpouri, Robin Burke, Bamshad Mobasher |
| 2017 | RecSys | VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation. | Robin Burke, Gediminas Adomavicius, Ido Guy, Jan Krasnodebski, Luiz Augusto Pizzato, Yi Zhang, Himan Abdollahpouri |
| 2015 | IJCAI | Adapting to User Preference Changes in Interactive Recommendation. | Negar Hariri, Bamshad Mobasher, Robin Burke |
| 2013 | CHI | Supporting therapists in motion-based gaming for brain injury rehabilitation. | Cynthia Putnam, Jinghui Cheng, Doris C. Rusch, Andr Berthiaume, Robin Burke |
| 2011 | IJCAI | Context-Aware Recommendation Based On Review Mining. | Negar Hariri, Bamshad Mobasher, Robin Burke, Yong Zheng |
| 2011 | RecSys | Experience Discovery: hybrid recommendation of student activities using social network data. | Robin Burke, Yong Zheng, Scott Riley |
| 2010 | RecSys | Improving the effectiveness of collaborative recommendation with ontology-based user profiles. | Ahu Sieg, Bamshad Mobasher, Robin Burke |