Opportunistic Multi-aspect Fairness through Personalized Re-ranking

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

As recommender systems have become more widespread and moved into areas with greater social impact, such as employment and housing, researchers have begun to seek ways to ensure fairness in the results that such systems produce. This work has primarily focused on developing recommendation approaches in which fairness metrics are jointly optimized along with recommendation accuracy... (read more)

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