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"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation

Sep 05, 2020
Nasim Sonboli, Robin Burke, Nicholas Mattei, Farzad Eskandanian, Tian Gao


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Opportunistic Multi-aspect Fairness through Personalized Re-ranking

May 21, 2020
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher


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Exploring User Opinions of Fairness in Recommender Systems

Apr 17, 2020
Jessie Smith, Nasim Sonboli, Casey Fiesler, Robin Burke


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Developing a Recommendation Benchmark for MLPerf Training and Inference

Apr 14, 2020
Carole-Jean Wu, Robin Burke, Ed H. Chi, Joseph Konstan, Julian McAuley, Yves Raimond, Hao Zhang


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Crank up the volume: preference bias amplification in collaborative recommendation

Sep 13, 2019
Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke

* Presented at the RMSE workshop held in conjunction with the 13th ACM Conference on Recommender Systems (RecSys), 2019, in Copenhagen, Denmark 

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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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Beyond Personalization: Research Directions in Multistakeholder Recommendation

May 01, 2019
Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Pizzato

* 66 pages 

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Value-Aware Item Weighting for Long-Tail Recommendation

Feb 15, 2018
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher


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