Himan Abdollahpouri

According to our database, Himan Abdollahpouri authored at least 45 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A survey on multi-objective recommender systems.

Dietmar Jannach, Himan Abdollahpouri

Frontiers Big Data, 2024

Long-term Off-Policy Evaluation and Learning.

Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas

Proceedings of the ACM on Web Conference 2024, 2024

SURE 2024: Workshop on Strategic and Utility-aware REcommendation.

Himan Abdollahpouri, Tonia Danylenko, Masoud Mansoury, Babak Loni, Daniel Russo, Mihajlo Grbovic

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

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

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

Multistakeholder Recommender Systems.

Himan Abdollahpouri, Robin Burke

Proceedings of the Recommender Systems Handbook, 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

MORS 2022: The Second Workshop on Multi-Objective Recommender Systems.

Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

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

Toward the Next Generation of News Recommender Systems.

Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert

Proceedings of the Companion of The Web Conference 2021, 2021

Beyond Algorithmic Fairness in Recommender Systems.

Mehdi Elahi, Himan Abdollahpouri, Masoud Mansoury, Helma Torkamaan

Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

User-centered Evaluation of Popularity Bias in Recommender Systems.

Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

Target-aware Aggregate Diversification in Recommendation.

Himan Abdollahpouri, Jesse Anderton, Zahra Nazari, Ben Carterette

Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

A Unified Optimization Toolbox for Solving Popularity Bias, Fairness, and Diversity in Recommender Systems.

Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse

Proceedings of the 1st Workshop on Multi-Objective Recommender Systems (MORS 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

A Constrained Optimization Approach for Calibrated Recommendations.

Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems.

Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni

Proceedings of the 1st Workshop on Multi-Objective Recommender Systems (MORS 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

ComplexRec 2021: Fifth Workshop on Recommendation in Complex Environments.

Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher, Casper Petersen, Maria Soledad Pera

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

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

Popularity Bias in Recommendation: A Multi-stakeholder Perspective.

Himan Abdollahpouri

CoRR, 2020

Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration.

Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher

CoRR, 2020

Multi-sided Exposure Bias in Recommendation.

Himan Abdollahpouri, Masoud Mansoury

CoRR, 2020

Unfair Exposure of Artists in Music Recommendation.

Himan Abdollahpouri, Robin Burke, Masoud Mansoury

CoRR, 2020

FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems.

Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation.

Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems.

Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Feedback Loop and Bias Amplification in Recommender Systems.

Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

The Relationship between the Consistency of Users' Ratings and Recommendation Calibration.

Masoud Mansoury, Himan Abdollahpouri, Joris Rombouts, Mykola Pechenizkiy

CoRR, 2019

The Impact of Popularity Bias on Fairness and Calibration in Recommendation.

Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher

CoRR, 2019

Reducing Popularity Bias in Recommendation Over Time.

Himan Abdollahpouri, Robin Burke

CoRR, 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

Incorporating System-Level Objectives into Recommender Systems.

Himan Abdollahpouri

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

RMSE: Workshop on Recommendation in Multi-stakeholder Environments.

Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang

Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Recommendation in multistakeholder environments.

Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

The Unfairness of Popularity Bias in Recommendation.

Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher

Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness.

Himan Abdollahpouri, Robin Burke

Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking.

Himan Abdollahpouri, Robin Burke, Bamshad Mobasher

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Popularity Bias in Ranking and Recommendation.

Himan Abdollahpouri

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Value-Aware Item Weighting for Long-Tail Recommendation.

Himan Abdollahpouri, Robin Burke, Bamshad Mobasher

CoRR, 2018

2017

Multiple Stakeholders in Music Recommender Systems.

Himan Abdollahpouri, Steve Essinger

CoRR, 2017

Patterns of Multistakeholder Recommendation.

Robin Burke, Himan Abdollahpouri

CoRR, 2017

Recommender Systems as Multistakeholder Environments.

Himan Abdollahpouri, Robin Burke, Bamshad Mobasher

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation.

Robin Burke, Gediminas Adomavicius, Ido Guy, Jan Krasnodebski, Luiz Augusto Pizzato, Yi Zhang, Himan Abdollahpouri

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Towards Effective Exploration/Exploitation in Sequential Music Recommendation.

Himan Abdollahpouri, Steve Essinger

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

Controlling Popularity Bias in Learning-to-Rank Recommendation.

Himan Abdollahpouri, Robin Burke, Bamshad Mobasher

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016

Educational Recommendation with Multiple Stakeholders.

Robin D. Burke, Himan Abdollahpouri

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Towards Multi-Stakeholder Utility Evaluation of Recommender Systems.

Robin D. Burke, Himan Abdollahpouri, Bamshad Mobasher, Trinadh Gupta

Proceedings of the Late-breaking Results, 2016