Towards Multi-Stakeholder Utility Evaluation of Recommender Systems. - Robin D. Burke; Himan Abdollahpouri; Bamshad Mobasher; Trinadh Gupta (UMAP (Extended Proceedings), 2016)

Educational Recommendation with Multiple Stakeholders. - Robin D. Burke; Himan Abdollahpouri (WI Workshops, 2016)

Controlling Popularity Bias in Learning-to-Rank Recommendation. - Himan Abdollahpouri; Robin Burke; Bamshad Mobasher (RecSys, 2017)

Towards Effective Exploration/Exploitation in Sequential Music Recommendation. - Himan Abdollahpouri; Steve Essinger (RecSys Posters, 2017)

VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation. - Robin Burke; Gediminas Adomavicius; Ido Guy; Jan Krasnodebski; Luiz Augusto Pizzato; Yi Zhang 001; Himan Abdollahpouri (RecSys, 2017)

Recommender Systems as Multistakeholder Environments. - Himan Abdollahpouri; Robin Burke; Bamshad Mobasher (UMAP, 2017)

Patterns of Multistakeholder Recommendation. - Robin Burke; Himan Abdollahpouri (CoRR, 2017)

Multiple Stakeholders in Music Recommender Systems. - Himan Abdollahpouri; Steve Essinger (CoRR, 2017)

Value-Aware Item Weighting for Long-Tail Recommendation. - Himan Abdollahpouri; Robin Burke; Bamshad Mobasher (CoRR, 2018)

Popularity Bias in Ranking and Recommendation. - Himan Abdollahpouri (AIES, 2019)

Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. - Himan Abdollahpouri; Robin Burke; Bamshad Mobasher (FLAIRS, 2019)

Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness. - Himan Abdollahpouri; Robin Burke (RMSE@RecSys, 2019)

The Unfairness of Popularity Bias in Recommendation. - Himan Abdollahpouri; Masoud Mansoury; Robin Burke; Bamshad Mobasher (RMSE@RecSys, 2019)

Recommendation in multistakeholder environments. - Robin Burke; Himan Abdollahpouri; Edward C. Malthouse; K. P. Thai; Yongfeng Zhang (RecSys, 2019)

RMSE: Workshop on Recommendation in Multi-stakeholder Environments. - Robin Burke; Himan Abdollahpouri; Edward C. Malthouse; K. P. Thai; Yongfeng Zhang (RMSE@RecSys, 2019)

Incorporating System-Level Objectives into Recommender Systems. - Himan Abdollahpouri (WWW (Companion Volume), 2019)

Beyond Personalization: Research Directions in Multistakeholder Recommendation. - Himan Abdollahpouri; Gediminas Adomavicius; Robin Burke; Ido Guy; Dietmar Jannach; Toshihiro Kamishima; Jan Krasnodebski; Luiz Augusto Pizzato (CoRR, 2019)

Reducing Popularity Bias in Recommendation Over Time. - Himan Abdollahpouri; Robin Burke (CoRR, 2019)

The Impact of Popularity Bias on Fairness and Calibration in Recommendation. - Himan Abdollahpouri; Masoud Mansoury; Robin Burke; Bamshad Mobasher (CoRR, 2019)

The Relationship between the Consistency of Users' Ratings and Recommendation Calibration. - Masoud Mansoury; Himan Abdollahpouri; Joris Rombouts; Mykola Pechenizkiy (CoRR, 2019)

Feedback Loop and Bias Amplification in Recommender Systems. - Masoud Mansoury; Himan Abdollahpouri; Mykola Pechenizkiy; Bamshad Mobasher; Robin Burke (CIKM, 2020)

Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems. - Masoud Mansoury; Himan Abdollahpouri; Jessie Smith; Arman Dehpanah; Mykola Pechenizkiy; Bamshad Mobasher (FLAIRS, 2020)

The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. - Himan Abdollahpouri; Masoud Mansoury; Robin Burke; Bamshad Mobasher (RecSys, 2020)

FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. - Masoud Mansoury; Himan Abdollahpouri; Mykola Pechenizkiy; Bamshad Mobasher; Robin Burke (UMAP, 2020)

Unfair Exposure of Artists in Music Recommendation. - Himan Abdollahpouri; Robin Burke; Masoud Mansoury (CoRR, 2020)

Multi-sided Exposure Bias in Recommendation. - Himan Abdollahpouri; Masoud Mansoury (CoRR, 2020)

Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration. - Himan Abdollahpouri; Masoud Mansoury; Robin Burke; Bamshad Mobasher (CoRR, 2020)

Popularity Bias in Recommendation: A Multi-stakeholder Perspective. - Himan Abdollahpouri (CoRR, 2020)

Multistakeholder recommendation: Survey and research directions. - Himan Abdollahpouri; Gediminas Adomavicius; Robin Burke; Ido Guy; Dietmar Jannach; Toshihiro Kamishima; Jan Krasnodebski; Luiz Augusto Pizzato (User Model. User Adapt. Interact., 2020)

ComplexRec 2021: Fifth Workshop on Recommendation in Complex Environments. - Himan Abdollahpouri; Toine Bogers; Bamshad Mobasher; Casper Petersen; Maria Soledad Pera (RecSys, 2021)

MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems. - Himan Abdollahpouri; Mehdi Elahi; Masoud Mansoury; Shaghayegh Sahebi; Zahra Nazari; Allison Chaney; Babak Loni (MORS@RecSys, 2021)

A Constrained Optimization Approach for Calibrated Recommendations. - Sinan Seymen; Himan Abdollahpouri; Edward C. Malthouse (RecSys, 2021)

A Unified Optimization Toolbox for Solving Popularity Bias, Fairness, and Diversity in Recommender Systems. - Sinan Seymen; Himan Abdollahpouri; Edward C. Malthouse (MORS@RecSys, 2021)

Target-aware Aggregate Diversification in Recommendation. - Himan Abdollahpouri; Jesse Anderton; Zahra Nazari; Ben Carterette (UMAP (Adjunct Publication), 2021)

User-centered Evaluation of Popularity Bias in Recommender Systems. - Himan Abdollahpouri; Masoud Mansoury; Robin Burke; Bamshad Mobasher; Edward C. Malthouse (UMAP, 2021)

Beyond Algorithmic Fairness in Recommender Systems. - Mehdi Elahi; Himan Abdollahpouri; Masoud Mansoury; Helma Torkamaan (UMAP (Adjunct Publication), 2021)

Toward the Next Generation of News Recommender Systems. - Himan Abdollahpouri; Edward C. Malthouse; Joseph A. Konstan; Bamshad Mobasher; Jeremy Gilbert (WWW (Companion Volume), 2021)

Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation. - Masoud Mansoury; Himan Abdollahpouri; Bamshad Mobasher; Mykola Pechenizkiy; Robin Burke; Milad Sabouri (CoRR, 2021)

MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. - Himan Abdollahpouri; Shaghayegh Sahebi; Mehdi Elahi; Masoud Mansoury; Babak Loni; Zahra Nazari; Maria Dimakopoulou (RecSys, 2022)

A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems. - Masoud Mansoury; Himan Abdollahpouri; Mykola Pechenizkiy; Bamshad Mobasher; Robin Burke (ACM Trans. Inf. Syst., 2022)

Multistakeholder Recommender Systems. - Himan Abdollahpouri; Robin Burke (Recommender Systems Handbook, 2022)

Calibrated Recommendations as a Minimum-Cost Flow Problem. - Himan Abdollahpouri; Zahra Nazari; Alex Gain; Clay Gibson; Maria Dimakopoulou; Jesse Anderton; Benjamin A. Carterette; Mounia Lalmas; Tony Jebara (WSDM, 2023)

SURE 2024: Workshop on Strategic and Utility-aware REcommendation. - Himan Abdollahpouri; Tonia Danylenko; Masoud Mansoury; Babak Loni; Daniel Russo 001; Mihajlo Grbovic (RecSys, 2024)

Long-term Off-Policy Evaluation and Learning. - Yuta Saito; Himan Abdollahpouri; Jesse Anderton; Ben Carterette; Mounia Lalmas (WWW, 2024)

A survey on multi-objective recommender systems. - Dietmar Jannach; Himan Abdollahpouri (Frontiers Big Data, 2024)