University of Amsterdam
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.
Fairness-aware recommendation in multi-sided platformsIn Proceedings of the 14th ACM International Conference on Web Search and Data Mining Dec 2021
Flatter is better: percentile transformations for recommender systemsACM Transactions on Intelligent Systems and Technology (TIST) Dec 2021
User-centered evaluation of popularity bias in recommender systemsIn Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization Dec 2021
librec-auto: A Tool for Recommender Systems ExperimentationIn Proceedings of the 30th ACM International Conference on Information & Knowledge Management Dec 2021
A graph-based approach for mitigating multi-sided exposure bias in recommender systemsACM Transactions on Information Systems (TOIS) Dec 2021
Feedback loop and bias amplification in recommender systemsIn Proceedings of the 29th ACM international conference on information & knowledge management Dec 2020