Andreas Kofler and Marianne Prast, Management Center Innsbruck (MCI), Austria

This paper is concerned with the mathematical aspects of the development of the job- and learningplatform OPENSKIMR. The platform should enable users to be matched with jobs based on their individual skill profile and the job skill requirements. Further, once users have chosen jobs they like, possible learnings in order to better fit the job’s requirements are recommended. We give a short introduction to the data model we use and show the mathematical framework we act within. Further, we present our Route Planner Algorithm and discuss its functionality.

OpenSkiMr, knowledge engineering, data mining, digitalization, e-learning, learning roadmap, matching, recommender systems