Himan Abdollahpouri
Title
Cited by
Cited by
Year
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
712017
Recommender systems as multistakeholder environments
H Abdollahpouri, R Burke, B Mobasher
Proceedings of the 25th Conference on User Modeling, Adaptation and …, 2017
382017
Towards Multi-Stakeholder Utility Evaluation of Recommender Systems.
RD Burke, H Abdollahpouri, B Mobasher, T Gupta
UMAP (Extended Proceedings), 2016
342016
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
252019
Beyond personalization: Research directions in multistakeholder recommendation
H Abdollahpouri, G Adomavicius, R Burke, I Guy, D Jannach, ...
arXiv preprint arXiv:1905.01986, 2019
192019
Educational recommendation with multiple stakeholders
R Burke, H Abdollahpouri
2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops …, 2016
162016
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
122019
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
112019
Patterns of Multistakeholder Recommendation
R Burke, H Abdollahpouri
VAMS@RecSys'17 workshop on value-aware and multistakeholder recommendation, 2017
112017
Multiple stakeholders in music recommender systems
H Abdollahpouri, S Essinger
VAMS@RecSys'17 workshop on value-aware and multistakeholder recommendation, 2017
72017
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
72013
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
Popularity Bias in Ranking and Recommendation
H Abdollahpouri
Conference on AI, Ethic and Society (AIES'19), 2019
42019
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
32020
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
32019
Beyond Personalization: Research Directions in Multistakeholder Recommendation. CoRR abs/1905.01986 (2019)
H Abdollahpouri, G Adomavicius, R Burke, I Guy, D Jannach, ...
32019
Towards Effective Exploration/Exploitation in Sequential Music Recommendation
H Abdollahpouri, S Essinger
RecSys posters, 2017
32017
Popularity-Aware Item Weighting for Long-Tail Recommendation
H Abdollahpouri, R Burke, B Mobasher
arXiv preprint arXiv:1802.05382, 2018
22018
Value-Aware Item Weighting for Long-Tail Recommendation.
H Abdollahpouri, R Burke, B Mobasher
22018
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
12020
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Articles 1–20