most citedDiverse personalized recommendations with uncertainty from implicit preference data with the Bayesian Mallows Model

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

stat.ME2019★ 3 cited

Diverse personalized recommendations with uncertainty from implicit preference data with the Bayesian Mallows Model

Qinghua Liu, Andrew Henry Reiner, Arnoldo Frigessi +1

Clicking data, which exists in abundance and contains objective user preference information, is widely used to produce personalized recommendations in web-based applications. Curre…