The user-knowledge crowdsourcing task allocation integrated decision model and genetic matrix factorization algorithm

作者：

Highlights：

• EKRS is applied to recommend suitable knowledge modules to scholars.

• Crowdsourcing task assignment is applied in UKID.

• The genetic matrix factorization algorithm (GMF) has good convergence.

• GMF algorithm improved the quality and quantity of the multi-task fulfillment.

• GMF algorithm solved the accuracy of the multi-task assignment in EKRS.

摘要

•EKRS is applied to recommend suitable knowledge modules to scholars.•Crowdsourcing task assignment is applied in UKID.•The genetic matrix factorization algorithm (GMF) has good convergence.•GMF algorithm improved the quality and quantity of the multi-task fulfillment.•GMF algorithm solved the accuracy of the multi-task assignment in EKRS.

论文关键词：The expert knowledge recommendation systems (EKRS),User-knowledge integrated decision-making (UKID),Crowdsourcing task allocation,Genetic matrix factorization algorithm (GMF)

论文评审过程：Received 24 February 2020, Revised 11 July 2020, Accepted 26 July 2020, Available online 12 August 2020, Version of Record 19 August 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113798