Automatic Generation of CVs from Online Social Networks

Abstract

Since the explosion of Social Media use, users information being dessiminated and dynamically updated, Curriculum Vitae (CV) documents started to be automatically generated, compiling that information and returning it to the user usually in PDF file format. However, existing CV generation tools do not use a standard CV structure format, which should be generic enough for common user needs, but also with domain specific components for certain work environnements, like academic and research. Another difficulty on using most of existing tools is that they return CV in a printable file format, not easily editable. In this paper, we introduce CVGenie, a system to automatically generate CV from information available in Online Social Networks. The system uses the EuroPass CV standard, extended with domain specific components. The CV file format is the XML dialect of EuroPass, because not only it is editable, but also it allows for the interoperability with other applications.