A task recommendation scheme for crowdsourcing based on expertise estimation

作者：

Highlights：

• A task recommendation model that improves the success rate of workers is presented.

• The use of predictive modelling along with auxilliary information improves the accuracy in recommendation.

• Task recommendation for inexpertise workers is explored.

• A taxonomy model is used to reduce the complexity in similarity computation.

摘要

•A task recommendation model that improves the success rate of workers is presented.•The use of predictive modelling along with auxilliary information improves the accuracy in recommendation.•Task recommendation for inexpertise workers is explored.•A taxonomy model is used to reduce the complexity in similarity computation.

论文关键词：Crowdsourcing,Task recommendation,Inexpertise worker,Skill taxonomy

论文评审过程：Received 2 June 2019, Revised 31 January 2020, Accepted 31 January 2020, Available online 6 February 2020, Version of Record 24 April 2020.

论文官网地址：https://doi.org/10.1016/j.elerap.2020.100946