Market-oriented job skill valuation with cooperative composition neural network

doi:10.1038/s41467-021-22215-y

	Market-oriented job skill valuation with cooperative composition neural network
	Sun, Ying 1,2,3; Zhuang, Fuzhen 1,4; Zhu, Hengshu 2; Zhang, Qi 2,5; He, Qing 1,3; Xiong, Hui 6
刊名	NATURE COMMUNICATIONS
	2021-03-31
卷号	12 期号:1 页码:12
ISSN号	2041-1723
DOI	10.1038/s41467-021-22215-y
英文摘要	The value assessment of job skills is important for companies to select and retain the right talent. However, there are few quantitative ways available for this assessment. Therefore, we propose a data-driven solution to assess skill value from a market-oriented perspective. Specifically, we formulate the task of job skill value assessment as a Salary-Skill Value Composition Problem, where each job position is regarded as the composition of a set of required skills attached with the contextual information of jobs, and the job salary is assumed to be jointly influenced by the context-aware value of these skills. Then, we propose an enhanced neural network with cooperative structure, namely Salary-Skill Composition Network (SSCN), to separate the job skills and measure their value based on the massive job postings. Experiments show that SSCN can not only assign meaningful value to job skills, but also outperforms benchmark models for job salary prediction. The value assessment of job skills is critical for companies to select and retain the right talent and for individuals to develop them. Here the authors show that a data-driven method based on an enhanced neural network can assign meaningful value to job skills in a quantitative way and outperforms benchmark models for job salary prediction.
资助项目	National Key Research and Development Program of China[2018YFB1004300] ; National Natural Science Foundation of China[U1836206] ; National Natural Science Foundation of China[U1811461] ; National Natural Science Foundation of China[61773361] ; National Natural Science Foundation of China[91746301] ; National Natural Science Foundation of China[61836013] ; Project of Youth Innovation Promotion Association CAS[2017146]
WOS研究方向	Science & Technology - Other Topics
语种	英语
出版者	NATURE RESEARCH
WOS记录号	WOS:000636879000013
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/16683]
专题	中国科学院计算技术研究所
通讯作者	Zhuang, Fuzhen; Zhu, Hengshu; Xiong, Hui
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China 2.Baidu Inc, Baidu Talent Intelligence Ctr, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Beihang Univ, Inst Artificial Intelligence, Beijing, Peoples R China 5.Univ Sci & Technol China, Sch Comp Sci, Hefei, Peoples R China 6.Rutgers State Univ, Newark, NJ 07102 USA
推荐引用方式 GB/T 7714	Sun, Ying,Zhuang, Fuzhen,Zhu, Hengshu,et al. Market-oriented job skill valuation with cooperative composition neural network[J]. NATURE COMMUNICATIONS,2021,12(1):12.
APA	Sun, Ying,Zhuang, Fuzhen,Zhu, Hengshu,Zhang, Qi,He, Qing,&Xiong, Hui.(2021).Market-oriented job skill valuation with cooperative composition neural network.NATURE COMMUNICATIONS,12(1),12.
MLA	Sun, Ying,et al."Market-oriented job skill valuation with cooperative composition neural network".NATURE COMMUNICATIONS 12.1(2021):12.