基于人类专家知识的经验性职位匹配模型：混合方法

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-06-27 DOI:10.1080/08839514.2024.2364158

María Elena Martínez-Manzanares, Jordan Joel Urias-Paramo, Julio Waissman-Vilanova, Gudelia Figueroa-Preciado

引用次数: 0

摘要

我们的研究目标是开发一个模型，用于计算候选人与职位描述之间的亲和力。我们特别关注数据科学和软件开发领域。T...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

An Empirical Job Matching Model based on Expert Human Knowledge: A Mixed-Methods Approach

Our research objective was to develop a model that calculates the affinity between candidates and job descriptions. We focused specifically on the fields of data science and software development. T...

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.