The labor market is constantly evolving. Occupations are changing, being added, or disappearing to fit the needs of today's market. In recent years the pace of this change has accelerated, due to factors such as globalization, digitization, and the shift to working from home. Different factors are relevant when selecting employment, e.g., cultural fit, compensation, provided degree of freedom. To successfully fulfill an occupation the gap between required (by the job) and possessed (by the job seeker) skills needs to be as small as possible. Decreasing this skill-gap improves the fit between a job candidate and occupation. In this paper we propose a custom-built Skills & Occupation Knowledge Graph (KG) that fits the above described dynamic nature of the labor market, by leveraging existing skills and occupation taxonomies enriched with external job posting data. We leverage this KG and explore several applications for skills-based matching of jobs to job seekers. First, we study link prediction as a means to quantify relevance of skills to occupations, which can help in prioritizing learning and development of employees. Next, we study node similarity methods and shortest path algorithms for career pathfinding. Finally, we leverage a term weighting method for identifying which skills are most "distinctive" for different (types of) occupations.
Salience and Market-aware Skill Extraction for Job Targeting
在LinkedIn，我们希望为全球劳动力中的每个人创造经济机会。为了实现这一目标，LinkedIn提供了一个反应式的求职系统，以及一个主动式的你可能感兴趣的工作（JYMBII）系统，以匹配最好的候选人与他们的梦想工作。开发这些系统的最具挑战性的任务之一是正确地提取重要的技能实体从职位发布，然后与匹配的属性的目标成员。在这项工作中，我们表明，常用的基于文本的\emph{salience and market-agnostic}技能提取方法是次优的，因为它只考虑技能提及，忽略了技能的显着水平及其市场动态，即，市场供求关系影响技能的重要性。为了解决上述缺点，我们提出了\model，我们部署的\emph{salience and market-aware}技能提取系统。所提出的\model ~在提高在线工作推荐（JYMBII）（$+1.92\%$工作申请）和针对工作海报的技能建议（$-37\%$建议拒绝率）方面显示了有希望的结果。最后，我们提出的案例研究显示有趣的见解，对比传统的技能识别方法和建议\model ~从职业，行业，国家和个人的技能水平。基于上述有希望的结果，我们部署了\model ~online，以提取LinkedIn上所有$20$ M职位发布的工作定位技能。
An LLM-Powered Agent for Real-Time Analysis of the Vietnamese IT Job Market
Computer Science Department Vietnamese-German University, Vietnam（越南德意志大学计算机科学系）；Business Administration Department FPT University, Vietnam（越南FPT大学商学院）；IT Operation Department Mantu Group, Vietnam（越南Mantu集团IT运营部）；CSIE Department National Taiwan University, Taiwan（台湾国立台湾大学CSIE系）
