85 citations · 119 across the 9 of their papers we have counts for
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cs.IR2019★ 6 cited
Crank up the volume: preference bias amplification in collaborative recommendation
Kun Lin, Nasim Sonboli, Bamshad Mobasher +1
Recommender systems are personalized: we expect the results given to a particular user to reflect that user's preferences. Some researchers have studied the notion of calibration,…
cs.SI2019★ 15 cited
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems
Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher
Like other social systems, in collaborative filtering a small number of "influential" users may have a large impact on the recommendations of other users, thus affecting the overal…