TY - GEN
T1 - Crowd-Machine Collaboration for Item Screening
AU - Krivosheev, Evgeny
AU - Harandizadeh, Bahareh
AU - Casati, Fabio
AU - Benatallah, Boualem
PY - 2018/4/23
Y1 - 2018/4/23
N2 - 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.
AB - 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.
KW - crowdsourcing
KW - human computation
KW - hybrid classification
KW - machine learning
UR - http://www.scopus.com/inward/record.url?scp=85085167441&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85085167441&partnerID=8YFLogxK
U2 - 10.1145/3184558.3186946
DO - 10.1145/3184558.3186946
M3 - Conference contribution
AN - SCOPUS:85085167441
T3 - The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
SP - 95
EP - 96
BT - The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
PB - Association for Computing Machinery, Inc
T2 - 27th International World Wide Web, WWW 2018
Y2 - 23 April 2018 through 27 April 2018
ER -