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Fairness and Transparency in Recommendation: The Users' Perspective



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



Nasim Sonboli , Robin Burke , Nicholas Mattei , Farzad Eskandanian , Tian Gao


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Opportunistic Multi-aspect Fairness through Personalized Re-ranking



Nasim Sonboli , Farzad Eskandanian , Robin Burke , Weiwen Liu , Bamshad Mobasher


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Exploring User Opinions of Fairness in Recommender Systems



Jessie Smith , Nasim Sonboli , Casey Fiesler , Robin Burke


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Crank up the volume: preference bias amplification in collaborative recommendation



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



Farzad Eskandanian , Nasim Sonboli , Bamshad Mobasher


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