文章基本信息

标题：Openskimr A Job and Learning Platform
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作者：Andreas Kofler ; Marianne Prast
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2017
卷号：7
期号：1
页码：95-106
DOI：10.5121/csit.2017.70110
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper is concerned with the mathematical aspects of the development of the job- andlearningplatform OPENSKIMR. The platform should enable users to be matched with jobsbased on their individual skill profile and the job skill requirements. Further, once users havechosen jobs they like, possible learnings in order to better fit the job’s requirements arerecommended. We give a short introduction to the data model we use and show themathematical framework we act within. Further, we present our Route Planner Algorithm anddiscuss its functionality.
关键词：OpenSkiMr; knowledge engineering; data mining; digitalization; e-learning; learning roadmap;matching; recommender systems