Crowd-Machine Collaboration for Item Screening

03/21/2018

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by   Evgeny Krivosheev, et al.

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In this paper we describe how crowd and machine classifier can be efficiently combined to screen items that satisfy a set of predicates. We show that this is a recurring problem in many domains, present machine-human (hybrid) algorithms that screen items efficiently and estimate the gain over human-only or machine-only screening in terms of performance and cost.