Market-oriented job skill valuation with cooperative composition neural network.

ABSTRACT: 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 t

SUBMITTER: Sun Y 

PROVIDER: S-EPMC8012576 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature