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Masoud Mansoury
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The Unfairness of Popularity Bias in Recommendation
H Abdollahpouri, M Mansoury, R Burke, B Mobasher
RecSys Workshop on Recommendation in Multistakeholder Environments (RMSE), 2019
1342019
Feedback Loop and Bias Amplification in Recommender Systems
M Mansoury, H Abdollahpouri, M Pechenizkiy, B Mobasher, R Burke
29th ACM International Conference on Information and Knowledge Management …, 2020
1022020
The connection between popularity bias, calibration, and fairness in recommendation
H Abdollahpouri, M Mansoury, R Burke, B Mobasher
Fourteenth ACM conference on recommender systems, 726-731, 2020
552020
Multi-sided Exposure Bias in Recommendation
H Abdollahpouri, M Mansoury
ACM KDD Workshop on Industrial Recommendation Systems 2020, 2020
452020
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems
M Mansoury, H Abdollahpouri, M Pechenizkiy, B Mobasher, R Burke
28th Conference on User Modeling, Adaptation and Personalization (UMAP 2020), 2020
382020
User-centered evaluation of popularity bias in recommender systems
H Abdollahpouri, M Mansoury, R Burke, B Mobasher, E Malthouse
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and …, 2021
332021
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison
M Mansoury, B Mobasher, R Burke, M Pechenizkiy
RecSys Workshop on Recommendation in Multistakeholder Environments (RMSE), 2019
252019
Automating recommender systems experimentation with librec-auto
M Mansoury, R Burke, A Ordonez-Gauger, X Sepulveda
Proceedings of the 12th ACM Conference on Recommender Systems, 500-501, 2018
212018
The impact of popularity bias on fairness and calibration in recommendation
H Abdollahpouri, M Mansoury, R Burke, B Mobasher
arXiv preprint arXiv:1910.05755, 2019
192019
Balanced neighborhoods for fairness-aware collaborative recommendation
R Burke, N Sonboli, M Mansoury, A Ordoņez-Gauger
RecSys Worshop on Fairness, Accountability, and Transparency in Recommender …, 2017
192017
Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems
M Mansoury, H Abdollahpouri, J Smith, A Dehpanah, M Pechenizkiy, ...
The 33nd International FLAIRS Conference in Cooperation with AAAI, 2020
172020
A graph-based approach for mitigating multi-sided exposure bias in recommender systems
M Mansoury, H Abdollahpouri, M Pechenizkiy, B Mobasher, R Burke
ACM Transactions on Information Systems (TOIS) 40 (2), 1-31, 2021
122021
Algorithm selection with librec-auto
M Mansoury, R Burke
Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in …, 2019
122019
Beyond algorithmic fairness in recommender systems
M Elahi, H Abdollahpouri, M Mansoury, H Torkamaan
Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation …, 2021
112021
Addressing the multistakeholder impact of popularity bias in recommendation through calibration
H Abdollahpouri, M Mansoury, R Burke, B Mobasher
arXiv preprint arXiv:2007.12230, 2020
112020
Improving recommender systems’ performance on cold-start users and controversial items by a new similarity model
M Mansoury, M Shajari
International Journal of Web Information Systems, 2016
102016
Fairness-aware recommendation in multi-sided platforms
M Mansoury
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
82021
Flatter is better: percentile transformations for recommender systems
M Mansoury, R Burke, B Mobasher
ACM Transactions on Intelligent Systems and Technology (TIST) 12 (2), 1-16, 2021
72021
Unfair exposure of artists in music recommendation
H Abdollahpouri, R Burke, M Mansoury
arXiv preprint arXiv:2003.11634, 2020
72020
Fairness-aware Recommendation with librec-auto
N Sonboli, R Burke, Z Liu, M Mansoury
Fourteenth ACM Conference on Recommender Systems, 594-596, 2020
62020
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Articles 1–20