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Fairness and Transparency in Recommendation: The Users' Perspective


Mar 16, 2021
Nasim Sonboli, Jessie J. Smith, Florencia Cabral Berenfus, Robin Burke, Casey Fiesler


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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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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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Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems


May 14, 2019
Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher


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