Masoud Mansoury

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 49

Top Topics

Multiattribute Utility

Recommender Systems

Learning To Rank

Top Venues

Publications

Kun Lin, Masoud Mansoury, Farzad Eskandanian, Milad Sabouri, Bamshad Mobasher
Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation. UMAP (Adjunct Publication) (2024)
Yuanna Liu, Ming Li, Mozhdeh Ariannezhad, Masoud Mansoury, Mohammad Aliannejadi, Maarten de Rijke
Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study. ECIR (4) (2024)
Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. SIGIR (2024)
Kun Lin, Masoud Mansoury, Farzad Eskandanian, Milad Sabouri, Bamshad Mobasher
Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation. CoRR (2024)
Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. CoRR (2024)
Masoud Mansoury, Bamshad Mobasher
Fairness of Exposure in Dynamic Recommendation. CoRR (2023)
Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff
Predictive Uncertainty-based Bias Mitigation in Ranking. CIKM (2023)
Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach. HR@RecSys (2023)
Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus
Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach. CoRR (2023)
Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff
Predictive Uncertainty-based Bias Mitigation in Ranking. CoRR (2023)
Masoud Mansoury, Finn Duijvestijn, Imane Mourabet
Potential Factors Leading to Popularity Unfairness in Recommender Systems: A User-Centered Analysis. CoRR (2023)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems. ACM Trans. Inf. Syst. 40 (2) (2022)
Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou
MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. RecSys (2022)
Masoud Mansoury, Bamshad Mobasher, Herke van Hoof
Exposure-Aware Recommendation using Contextual Bandits. CoRR (2022)
Masoud Mansoury
Understanding and mitigating multi-sided exposure bias in recommender systems. SIGWEB Newsl. 2022 (Autumn) (2022)
Masoud Mansoury
Understanding and Mitigating Multi-Sided Exposure Bias in Recommender Systems. CoRR (2021)
Mehdi Elahi, Himan Abdollahpouri, Masoud Mansoury, Helma Torkamaan
Beyond Algorithmic Fairness in Recommender Systems. UMAP (Adjunct Publication) (2021)
Masoud Mansoury, Robin Burke, Bamshad Mobasher
Flatter Is Better: Percentile Transformations for Recommender Systems. ACM Trans. Intell. Syst. Technol. 12 (2) (2021)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse
User-centered Evaluation of Popularity Bias in Recommender Systems. UMAP (2021)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse
User-centered Evaluation of Popularity Bias in Recommender Systems. CoRR (2021)
Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni
MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems. MORS@RecSys (2021)
Nasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Andrew Schwartz, Robin Burke
librec-auto: A Tool for Recommender Systems Experimentation. CIKM (2021)
Masoud Mansoury
Fairness-Aware Recommendation in Multi-Sided Platforms. WSDM (2021)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems. CoRR (2021)
Masoud Mansoury, Himan Abdollahpouri, Bamshad Mobasher, Mykola Pechenizkiy, Robin Burke, Milad Sabouri
Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation. CoRR (2021)
Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni
MORS 2021: 1st Workshop on Multi-Objective Recommender Systems. RecSys (2021)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. CoRR (2020)
Nasim Sonboli, Robin Burke, Zijun Liu, Masoud Mansoury
Fairness-aware Recommendation with librec-auto. RecSys (2020)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. UMAP (2020)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration. CoRR (2020)
Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher
Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems. CoRR (2020)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
Feedback Loop and Bias Amplification in Recommender Systems. CoRR (2020)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. RecSys (2020)
Himan Abdollahpouri, Masoud Mansoury
Multi-sided Exposure Bias in Recommendation. CoRR (2020)
Robin D. Burke, Masoud Mansoury, Nasim Sonboli
Experimentation with fairness-aware recommendation using librec-auto: hands-on tutorial. FAT* (2020)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
Feedback Loop and Bias Amplification in Recommender Systems. CIKM (2020)
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. CoRR (2020)
Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher
Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems. FLAIRS Conference (2020)
Himan Abdollahpouri, Robin Burke, Masoud Mansoury
Unfair Exposure of Artists in Music Recommendation. CoRR (2020)
Masoud Mansoury, Robin Burke
Algorithm Selection with Librec-auto. AMIR@ECIR (2019)
Masoud Mansoury, Robin Burke, Bamshad Mobasher
Flatter is better: Percentile Transformations for Recommender Systems. CoRR (2019)
Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. CoRR (2019)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Unfairness of Popularity Bias in Recommendation. RMSE@RecSys (2019)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Impact of Popularity Bias on Fairness and Calibration in Recommendation. CoRR (2019)
Masoud Mansoury, Himan Abdollahpouri, Joris Rombouts, Mykola Pechenizkiy
The Relationship between the Consistency of Users' Ratings and Recommendation Calibration. CoRR (2019)
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
The Unfairness of Popularity Bias in Recommendation. CoRR (2019)
Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. RMSE@RecSys (2019)
Masoud Mansoury, Robin Burke, Aldo Ordonez-Gauger, Xavier Sepulveda
Automating recommender systems experimentation with librec-auto. RecSys (2018)
Masoud Mansoury, Mehdi Shajari
Improving recommender systems' performance on cold-start users and controversial items by a new similarity model. Int. J. Web Inf. Syst. 12 (2) (2016)