Individualized rank aggregation using nuclear norm regularization

Abstract

In recent years rank aggregation has received significant attention from the machine learning community. The goal of such a problem is to combine the (partially revealed) preferences over objects of a large population into a single, relatively consistent ordering of those objects. However, in many cases, we might not want a single ranking and instead opt… (More)
DOI: 10.1109/ALLERTON.2015.7447183

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