GRBMC: An effective crowdsourcing recommendation for workers groups

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Crowdsourcing,Multi-community,Characteristics model,Recommendation,Worker matrix

论文评审过程：Received 22 January 2021, Revised 31 March 2021, Accepted 11 April 2021, Available online 17 April 2021, Version of Record 8 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115039