A Multilevel Approach to Recommend Working Paths in Industry 4.0

In the current industrial era, in order to improve production processes and the global well-being of industry and employees, much effort is devoted to modern digital solutions. In this scenario, belonging to the Internet of Things paradigm and involving the analysis of Big Data, an increasing attention is devoted to improving the Human-Machine interaction. Against this backdrop, this work aims to propose a recommendation system capable of building career paths and assisting company employees. The experimental campaign, which included the design of a prototype, involved a firm from Southern Italy with promising results.