基于社区的课程和工作数据集成，支持个性化职业教育建议
Community-Based Data Integration of Course and Job Data in Support of Personalized Career-Education Recommendations
摘要：
你的教育如何影响你的职业生涯？理想情况下，你参加的课程可以帮助你确定，被雇用，并执行你一直想要的工作。然而，并非所有课程都提供可转移到现有和未来工作的技能;课程说明中使用的技能术语可能与招聘广告中列出的术语不同;课程中教授的内容与工作所需的内容之间可能存在相当大的技能差距。在这项研究中，我们提出了一种新的方法来整合广泛的课程描述和招聘广告数据，利用异构数据集成和社区发现。创新的异构图方法以及识别的技能社区可以实现跨领域信息推荐，例如，在提供教育背景资料的同时，亦可提供工作建议，以及有关再培训和提升技能的教育机会的建议，以支持终身学习。
英文摘要：
How does your education impact your professional career? Ideally, the courses you take help you identify, get hired for, and perform the job you always wanted. However, not all courses provide skills that transfer to existing and future jobs; skill terms used in course descriptions might be different from those listed in job advertisements; and there might exist a considerable skill gap between what is taught in courses and what is needed for a job. In this study, we propose a novel method to integrate extensive course description and job advertisement data by leveraging heterogeneous data integration and community detection. The innovative heterogeneous graph approach along with identified skill communities enables cross-domain information recommendation, e.g., given an educational profile, job recommendations can be provided together with suggestions on education opportunities for re- and upskilling in support of lifelong learning.
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。
