Masoud Mansoury

Postdoc
AMLab
Informatics Institute
University of Amsterdam

 

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I am a postdoc at the Amsterdam Machine Learning Lab (AMLab). My research interests lie in the areas of Recommender Systems, Reinforcement Learning, and Algorithmic Bias. During my Postdoc program, I am collaborating with Elsevier at Discovery Lab and working on various projects including article recommendation to the researchers and peer-reviewer recommendation.


Selected Publications

  1. Fairness-aware recommendation in multi-sided platforms
    Mansoury, Masoud
    In Proceedings of the 14th ACM International Conference on Web Search and Data Mining Dec 2021
  2. Flatter is better: percentile transformations for recommender systems
    Mansoury, Masoud, Burke, Robin, and Mobasher, Bamshad
    ACM Transactions on Intelligent Systems and Technology (TIST) Dec 2021
  3. User-centered evaluation of popularity bias in recommender systems
    Abdollahpouri, Himan, Mansoury, Masoud, Burke, Robin, Mobasher, Bamshad, and Malthouse, Edward
    In Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization Dec 2021
  4. librec-auto: A Tool for Recommender Systems Experimentation
    Sonboli, Nasim, Mansoury, Masoud, Guo, Ziyue, Kadekodi, Shreyas, Liu, Weiwen, Liu, Zijun, Schwartz, Andrew, and Burke, Robin
    In Proceedings of the 30th ACM International Conference on Information & Knowledge Management Dec 2021
  5. A graph-based approach for mitigating multi-sided exposure bias in recommender systems
    Mansoury, Masoud, Abdollahpouri, Himan, Pechenizkiy, Mykola, Mobasher, Bamshad, and Burke, Robin
    ACM Transactions on Information Systems (TOIS) Dec 2021
  6. Feedback loop and bias amplification in recommender systems
    Mansoury, Masoud, Abdollahpouri, Himan, Pechenizkiy, Mykola, Mobasher, Bamshad, and Burke, Robin
    In Proceedings of the 29th ACM international conference on information & knowledge management Dec 2020