A Crowdsourcing Recommendation that Considers the Influence of Workers-Reference-Cited by-同舟云学术

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A Crowdsourcing Recommendation that Considers the Influence of Workers

Published:2021 Issue:2 Volume:66 Page:1379-1396
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Liao Zhifang,Xu Xin,Lan Peng,Yang Liu,Zhang Yan,Fan Xiaoping

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modelling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v66n2/40625/pdf

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on Complex Task Scheduling Algorithm in Crowdsourcing;2023 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA);2023-04-26

2. Blockchain-based mobile crowdsourcing model with task security and task assignment;Expert Systems with Applications;2023-01

3. Evaluating and visualizing QoS of service providers in knowledge-intensive crowdsourcing: a combined MCDM approach;International Journal of Intelligent Computing and Cybernetics;2021-10-14

4. GRBMC: An effective crowdsourcing recommendation for workers groups;Expert Systems with Applications;2021-10

5. Crowdsourced Requirements Engineering Challenges and Solutions: A Software Industry Perspective;Computer Systems Science and Engineering;2021

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