Title
GRBMC: An effective crowdsourcing recommendation for workers groups
Abstract
•An algorithm to mining multi-community structures of crowdsourced workers.•A method for the worker characteristics model.•Considering workers' ability, activity, preference and community attributes.•Two optimization strategies to alleviate the recommended cold start problem.
Year
DOI
Venue
2021
10.1016/j.eswa.2021.115039
Expert Systems with Applications
Keywords
DocType
Volume
Crowdsourcing,Multi-community,Characteristics model,Recommendation,Worker matrix
Journal
179
ISSN
Citations 
PageRank 
0957-4174
0
0.34
References 
Authors
2
5
Name
Order
Citations
PageRank
Zhifang Liao15215.52
Xin Xu21365100.22
Xiaoping Fan310918.40
yan zhang46720.55
Song Yu501.35