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Himan Abdollahpouri
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2020 – today
- 2024
- [j3]Dietmar Jannach, Himan Abdollahpouri:
A survey on multi-objective recommender systems. Frontiers Big Data 6 (2024) - [c29]Yuta Saito
, Himan Abdollahpouri
, Jesse Anderton
, Ben Carterette
, Mounia Lalmas
:
Long-term Off-Policy Evaluation and Learning. WWW 2024: 3432-3443 - [i25]Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas:
Long-term Off-Policy Evaluation and Learning. CoRR abs/2404.15691 (2024) - 2023
- [c28]Himan Abdollahpouri
, Zahra Nazari
, Alex Gain
, Clay Gibson
, Maria Dimakopoulou
, Jesse Anderton
, Benjamin A. Carterette
, Mounia Lalmas
, Tony Jebara
:
Calibrated Recommendations as a Minimum-Cost Flow Problem. WSDM 2023: 571-579 - 2022
- [j2]Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy
, Bamshad Mobasher
, Robin Burke:
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems. ACM Trans. Inf. Syst. 40(2): 32:1-32:31 (2022) - [c27]Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou:
MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. RecSys 2022: 658-660 - [e4]Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou:
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, 18th-23rd September 2022. CEUR Workshop Proceedings 3268, CEUR-WS.org 2022 [contents] - [r1]Himan Abdollahpouri, Robin Burke:
Multistakeholder Recommender Systems. Recommender Systems Handbook 2022: 647-677 - 2021
- [c26]Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni:
MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems. MORS@RecSys 2021 - [c25]Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse:
A Constrained Optimization Approach for Calibrated Recommendations. RecSys 2021: 607-612 - [c24]Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher
, Casper Petersen, Maria Soledad Pera
:
ComplexRec 2021: Fifth Workshop on Recommendation in Complex Environments. RecSys 2021: 775-777 - [c23]Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni:
MORS 2021: 1st Workshop on Multi-Objective Recommender Systems. RecSys 2021: 787-788 - [c22]Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse:
A Unified Optimization Toolbox for Solving Popularity Bias, Fairness, and Diversity in Recommender Systems. MORS@RecSys 2021 - [c21]Himan Abdollahpouri, Jesse Anderton, Zahra Nazari, Ben Carterette:
Target-aware Aggregate Diversification in Recommendation. UMAP (Adjunct Publication) 2021: 16-21 - [c20]Mehdi Elahi, Himan Abdollahpouri, Masoud Mansoury, Helma Torkamaan:
Beyond Algorithmic Fairness in Recommender Systems. UMAP (Adjunct Publication) 2021: 41-46 - [c19]Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
, Edward C. Malthouse:
User-centered Evaluation of Popularity Bias in Recommender Systems. UMAP 2021: 119-129 - [c18]Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan
, Bamshad Mobasher
, Jeremy Gilbert:
Toward the Next Generation of News Recommender Systems. WWW (Companion Volume) 2021: 402-406 - [e3]Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni:
Proceedings of the 1st Workshop on Multi-Objective Recommender Systems (MORS 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, September 25, 2021. CEUR Workshop Proceedings 2959, CEUR-WS.org 2021 [contents] - [e2]Vito Walter Anelli, Pierpaolo Basile, Tommaso Di Noia, Francesco Maria Donini, Cataldo Musto, Fedelucio Narducci, Markus Zanker, Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher, Casper Petersen, Maria Soledad Pera:
Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Virtual Event, Amsterdam, The Netherlands, September 25, 2021. CEUR Workshop Proceedings 2960, CEUR-WS.org 2021 [contents] - [i24]Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse:
User-centered Evaluation of Popularity Bias in Recommender Systems. CoRR abs/2103.06364 (2021) - [i23]Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert:
Toward the Next Generation of News Recommender Systems. CoRR abs/2103.06909 (2021) - [i22]Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke:
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems. CoRR abs/2107.03415 (2021) - [i21]Masoud Mansoury, Himan Abdollahpouri, Bamshad Mobasher, Mykola Pechenizkiy, Robin Burke, Milad Sabouri:
Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation. CoRR abs/2108.03440 (2021) - 2020
- [j1]Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke
, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Augusto Pizzato:
Multistakeholder recommendation: Survey and research directions. User Model. User Adapt. Interact. 30(1): 127-158 (2020) - [c17]Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher
, Robin Burke:
Feedback Loop and Bias Amplification in Recommender Systems. CIKM 2020: 2145-2148 - [c16]Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher:
Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems. FLAIRS 2020: 193-196 - [c15]Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
:
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. RecSys 2020: 726-731 - [c14]Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher
, Robin Burke:
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. UMAP 2020: 154-162 - [i20]Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher:
Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems. CoRR abs/2002.07786 (2020) - [i19]Himan Abdollahpouri, Robin Burke, Masoud Mansoury:
Unfair Exposure of Artists in Music Recommendation. CoRR abs/2003.11634 (2020) - [i18]Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke:
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. CoRR abs/2005.01148 (2020) - [i17]Himan Abdollahpouri, Masoud Mansoury:
Multi-sided Exposure Bias in Recommendation. CoRR abs/2006.15772 (2020) - [i16]Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher:
Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration. CoRR abs/2007.12230 (2020) - [i15]Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke:
Feedback Loop and Bias Amplification in Recommender Systems. CoRR abs/2007.13019 (2020) - [i14]Himan Abdollahpouri:
Popularity Bias in Recommendation: A Multi-stakeholder Perspective. CoRR abs/2008.08551 (2020) - [i13]Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher:
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. CoRR abs/2008.09273 (2020)
2010 – 2019
- 2019
- [c13]Himan Abdollahpouri:
Popularity Bias in Ranking and Recommendation. AIES 2019: 529-530 - [c12]Himan Abdollahpouri, Robin Burke, Bamshad Mobasher:
Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. FLAIRS 2019: 413-418 - [c11]Himan Abdollahpouri, Robin Burke:
Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness. RMSE@RecSys 2019 - [c10]Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher:
The Unfairness of Popularity Bias in Recommendation. RMSE@RecSys 2019 - [c9]Robin Burke
, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang:
Recommendation in multistakeholder environments. RecSys 2019: 566-567 - [c8]Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang:
RMSE: Workshop on Recommendation in Multi-stakeholder Environments. RMSE@RecSys 2019 - [c7]Himan Abdollahpouri:
Incorporating System-Level Objectives into Recommender Systems. WWW (Companion Volume) 2019: 2-6 - [e1]Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang:
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, September 20, 2019. CEUR Workshop Proceedings 2440, CEUR-WS.org 2019 [contents] - [i12]Himan Abdollahpouri, Robin Burke, Bamshad Mobasher:
Managing Popularity Bias in Recommender Systems with Personalized Re-ranking. CoRR abs/1901.07555 (2019) - [i11]Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Augusto Pizzato:
Beyond Personalization: Research Directions in Multistakeholder Recommendation. CoRR abs/1905.01986 (2019) - [i10]Himan Abdollahpouri:
Incorporating System-Level Objectives into Recommender Systems. CoRR abs/1906.01435 (2019) - [i9]Himan Abdollahpouri, Robin Burke:
Reducing Popularity Bias in Recommendation Over Time. CoRR abs/1906.11711 (2019) - [i8]Himan Abdollahpouri, Robin Burke:
Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness. CoRR abs/1907.13158 (2019) - [i7]Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher:
The Unfairness of Popularity Bias in Recommendation. CoRR abs/1907.13286 (2019) - [i6]Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher:
The Impact of Popularity Bias on Fairness and Calibration in Recommendation. CoRR abs/1910.05755 (2019) - [i5]Masoud Mansoury, Himan Abdollahpouri, Joris Rombouts, Mykola Pechenizkiy:
The Relationship between the Consistency of Users' Ratings and Recommendation Calibration. CoRR abs/1911.00852 (2019) - 2018
- [i4]Himan Abdollahpouri, Robin Burke, Bamshad Mobasher:
Value-Aware Item Weighting for Long-Tail Recommendation. CoRR abs/1802.05382 (2018) - [i3]Himan Abdollahpouri, Steve Essinger:
Towards Effective Exploration/Exploitation in Sequential Music Recommendation. CoRR abs/1812.03226 (2018) - 2017
- [c6]Himan Abdollahpouri, Robin Burke
, Bamshad Mobasher
:
Controlling Popularity Bias in Learning-to-Rank Recommendation. RecSys 2017: 42-46 - [c5]Himan Abdollahpouri, Steve Essinger:
Towards Effective Exploration/Exploitation in Sequential Music Recommendation. RecSys Posters 2017 - [c4]Robin Burke
, Gediminas Adomavicius, Ido Guy, Jan Krasnodebski, Luiz Augusto Pizzato, Yi Zhang
, Himan Abdollahpouri:
VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation. RecSys 2017: 378-379 - [c3]Himan Abdollahpouri, Robin Burke
, Bamshad Mobasher
:
Recommender Systems as Multistakeholder Environments. UMAP 2017: 347-348 - [i2]Robin Burke, Himan Abdollahpouri:
Patterns of Multistakeholder Recommendation. CoRR abs/1707.09258 (2017) - [i1]Himan Abdollahpouri, Steve Essinger:
Multiple Stakeholders in Music Recommender Systems. CoRR abs/1708.00120 (2017) - 2016
- [c2]Robin D. Burke, Himan Abdollahpouri, Bamshad Mobasher, Trinadh Gupta:
Towards Multi-Stakeholder Utility Evaluation of Recommender Systems. UMAP (Extended Proceedings) 2016 - [c1]Robin D. Burke, Himan Abdollahpouri:
Educational Recommendation with Multiple Stakeholders. WI Workshops 2016: 62-63
Coauthor Index
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