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arXiv 2202.11064cs.SIcs.AI
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基于二分图的占用相似性

Occupation similarity through bipartite graphs

Jožef Stefan Institute(约瑟夫·斯特凡研究所);University of Ljubljana(卢布尔雅那大学);Faculty of Information Studies in Novo mesto(新梅斯托信息研究学院)

Pavle Boškoski, Matija Perne, Tjaša Redek, Biljana Mileva Boshkoska

摘要:

职业之间的相似性是做出职业决定时的一个关键信息。然而,单一和统一的职业相似性衡量的概念与其说是一种资产,不如说是一种限制。本研究的目的是评估多个可解释的职业相似性措施,可以提供不同的见解,职业间的关系。几个这样的措施是使用二分图的框架。根据2012年至2021年期间斯洛文尼亚发生的450 000多起工作转换,对这些方案的可行性进行了评估。结果支持的假设,几个相似的措施是合理的,他们提出了不同的可行的职业道路。完整的实现和部分数据集可在https://repo.ijs.si/pboskoski/bipartite_job_similarity_code上获得。

英文摘要:

Similarity between occupations is a crucial piece of information when making career decisions. However, the notion of a single and unified occupation similarity measure is more of a limitation than an asset. The goal of the study is to assess multiple explainable occupation similarity measures that can provide different insights into inter-occupation relations. Several such measures are derived using the framework of bipartite graphs. Their viability is assessed on more than 450,000 job transitions occurring in Slovenia in the period between 2012 and 2021. The results support the hypothesis that several similarity measures are plausible and that they present different feasible career paths. The complete implementation and part of the datasets are available at https://repo.ijs.si/pboskoski/bipartite_job_similarity_code.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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