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.
Crowd-Machine Collaboration for Item Screening / Krivosheev, Evgeny; Harandizadeh, Bahareh; Casati, Fabio; Benatallah, Boualem. - (2018), pp. 95-96. (Intervento presentato al convegno 27th International World Wide Web, WWW 2018 tenutosi a Francia nel aprile 2018) [10.1145/3184558.3186946].
Crowd-Machine Collaboration for Item Screening
Krivosheev, Evgeny;Harandizadeh, Bahareh;Casati, Fabio;Benatallah, Boualem
2018-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
