Masoud Mansoury

Masoud Mansoury

Office 5.E.240

Van Mourik Broekmanweg 6

2628 XE Delft, The Netherlands

Recent Publications

You can find the full list of my articles on my Google Scholar profile.
  1. SIGIR
    Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems
    Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke
    In the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
  2. ECIR
    Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study
    Yuanna Liu, Ming Li, Mozhdeh Ariannezhad, Masoud Mansoury, Mohammad Aliannejadi, Maarten de Rijke
    In the 46th European Conference on Information Retrieval, 2024
    PDF CODE
  3. BNAIC
    Potential Factors Leading to Popularity Unfairness in Recommender Systems: A User-Centered Analysis
    Masoud Mansoury, Finn Duijvestijn, Imane Mourabet
    In BNAIC Joint International Scientific Conference on AI and Machine Learning, 2023
    PDF
  4. CIKM
    Predictive Uncertainty-based Bias Mitigation in Ranking
    Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff
    In the 32nd ACM International Conference on Information and Knowledge Management, 2023
    PDF CODE
  5. RecSys Workshop
    Fairness of Exposure in Dynamic Recommendation
    Masoud Mansoury, Bamshad Mobasher
    In CONSEQUENCE Workshop on Causality, Counterfactuals, and Sequential Decision-Making in conjunction with ACM RecSys 2023
    PDF
  6. RecSys Workshop
    Career Path Recommendations for Long-term Income Maximization: A Reinforcement Learning Approach
    Spyros Avlonitis, Dor Lavi, Masoud Mansoury, David Graus
    In Workshop on Recommender Systems for Human Resources in conjunction with ACM RecSys 2023
    PDF
  7. RecSys Workshop
    Exposure-Aware Recommendation using Contextual Bandits
    Masoud Mansoury, Bamshad Mobasher, Herke van Hoof
    In 5th FAccTRec Workshop on Responsible Recommendation in conjunction with ACM RecSys 2022
    PDF
  8. TOIS
    A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems
    Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
    ACM Transactions on Information Systems, 40 no. 2, 2021
    PDF
  9. 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
    In the 30th ACM International Conference on Information and Knowledge Management, 2021
    PDF CODE
  10. UMAP
    User-centered evaluation of popularity bias in recommender systems
    Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward Malthouse
    In Proceedings of the 29th ACM conference on user modeling, adaptation and personalization, 2021
    PDF
  11. UMAP
    Beyond Algorithmic Fairness in Recommender Systems
    Mehdi Elahi, Himan Abdollahpouri, Masoud Mansoury, Helma Torkamaan
    In Adjunct proceedings of the 29th ACM conference on user modeling, adaptation and personalization, 2021
    PDF
  12. TIST
    Flatter is better: Percentile Transformations for Recommender Systems
    Masoud Mansoury, Robin Burke, Bamshad Mobasher
    ACM Transactions on Intelligent Systems and Technology, 12 no. 2, 2021
    PDF
  13. WSDM
    Fairness-aware Recommendation in Multi-sided Platforms
    Masoud Mansoury
    In Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 2021
    PDF
  14. RecSys
    The Connection between Popularity Bias, Calibration, and Fairness in Recommendation
    Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
    In the Proceedings of the 14th ACM Conference on Recommender Systems, 2020
    PDF
  15. RecSys
    Fairness-aware Recommendation with librec-auto
    Nasim Sonboli, Robin Burke, Zijun Liu, Masoud Mansoury
    In the Proceedings of the 14th ACM Conference on Recommender Systems, 2020
    PDF CODE
  16. CIKM
    Feedback Loop and Bias Amplification in Recommender Systems
    Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
    In the 29th ACM International Conference on Information and Knowledge Management, 2020
    PDF
  17. KDD Workshop
    Multi-sided Exposure Bias in Recommendation
    Himan Abdollahpouri, Masoud Mansoury
    In Workshop on Industrial Recommendation Systems in Conjuction with ACM KDD, 2020
    PDF
  18. UMAP
    FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems
    Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
    In the 28th Conference on User Modeling, Adaptation and Personalization, 2020
    PDF
  19. FLAIRS
    Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems
    Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher
    In the 33nd International Florida Artificial Intelligence Research Society Conference in Cooperation with AAAI, 2020
    PDF