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Exposure-Aware Recommendation using Contextual Bandits


Sep 04, 2022
Masoud Mansoury, Bamshad Mobasher, Herke van Hoof


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Understanding and Mitigating Multi-Sided Exposure Bias in Recommender Systems


Nov 10, 2021
Masoud Mansoury

* Doctoral thesis 

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Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation


Aug 07, 2021
Masoud Mansoury, Himan Abdollahpouri, Bamshad Mobasher, Mykola Pechenizkiy, Robin Burke, Milad Sabouri


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A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems


Jul 07, 2021
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke

* arXiv admin note: substantial text overlap with arXiv:2005.01148 

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User-centered Evaluation of Popularity Bias in Recommender Systems


Mar 10, 2021
Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward Malthouse

* Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '21), June 21--25, 2021, Utrecht, Netherlands. arXiv admin note: text overlap with arXiv:2007.12230 

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Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison


Aug 02, 2019
Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy

* Workshop on Recommendation in Multi-Stakeholder Environments (RMSE) at ACM RecSys 2019, Copenhagen, Denmark 

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Flatter is better: Percentile Transformations for Recommender Systems


Jul 10, 2019
Masoud Mansoury, Robin Burke, Bamshad Mobasher


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