Himan Abdollahpouri
Himan Abdollahpouri
Bestätigte E-Mail-Adresse bei northwestern.edu
Titel
Zitiert von
Zitiert von
Jahr
Controlling popularity bias in learning-to-rank recommendation
H Abdollahpouri, R Burke, B Mobasher
Proceedings of the Eleventh ACM Conference on Recommender Systems, 42-46, 2017
1162017
Managing Popularity Bias in Recommender Systems with Personalized Re-ranking
H Abdollahpouri, R Burke, B Mobasher
The 32nd International FLAIRS Conference in Cooperation with AAAI, 2019
612019
Recommender systems as multistakeholder environments
H Abdollahpouri, R Burke, B Mobasher
Proceedings of the 25th Conference on User Modeling, Adaptation and …, 2017
482017
Towards Multi-Stakeholder Utility Evaluation of Recommender Systems.
RD Burke, H Abdollahpouri, B Mobasher, T Gupta
UMAP (Extended Proceedings), 2016
462016
Multistakeholder recommendation: Survey and research directions
H Abdollahpouri, G Adomavicius, R Burke, I Guy, D Jannach, ...
User Modeling and User-Adapted Interaction, 1-32, 2020
422020
The Unfairness of Popularity Bias in Recommendation
H Abdollahpouri, M Mansoury, R Burke, B Mobasher
Proceedings of the RMSE workshop at the ACM Recsys 2019, 2019
372019
Beyond personalization: Research directions in multistakeholder recommendation
H Abdollahpouri, G Adomavicius, R Burke, I Guy, D Jannach, ...
arXiv preprint arXiv:1905.01986, 2019
292019
Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness
H Abdollahpouri, R Burke
Proceedings of the RMSE workshop at the ACM Recsys 2019, 2019
262019
Educational recommendation with multiple stakeholders
R Burke, H Abdollahpouri
2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops …, 2016
182016
Popularity Bias in Ranking and Recommendation
H Abdollahpouri
Conference on AI, Ethic and Society (AIES'19), 2019
132019
Patterns of Multistakeholder Recommendation
R Burke, H Abdollahpouri
VAMS@RecSys'17 workshop on value-aware and multistakeholder recommendation, 2017
122017
Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems
M Mansoury, H Abdollahpouri, J Smith, A Dehpanah, M Pechenizkiy, ...
33rd FLAIRS Conference in Cooperation with AAAI (2020), 2020
102020
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
102019
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
82020
Multi-sided Exposure Bias in Recommendation
H Abdollahpouri, M Mansoury
ACM KDD Workshop on Industrial Recommendation, 2020
82020
An approach for personalization of banking services in multi-channel environment using memory-based collaborative filtering
H Abdollahpouri, A Abdollahpouri
The 5th Conference on Information and Knowledge Technology, 208-213, 2013
82013
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
72020
Multiple stakeholders in music recommender systems
H Abdollahpouri, S Essinger
VAMS@RecSys'17 workshop on value-aware and multistakeholder recommendation, 2017
72017
Vams 2017: Workshop on value-aware and multistakeholder recommendation
R Burke, G Adomavicius, I Guy, J Krasnodebski, L Pizzato, Y Zhang, ...
Proceedings of the Eleventh ACM Conference on Recommender Systems, 378-379, 2017
62017
Towards Effective Exploration/Exploitation in Sequential Music Recommendation
H Abdollahpouri, S Essinger
RecSys posters, 2017
52017
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