Talks and Poster Presentations (with Proceedings-Entry):

V. Filipov, A. Arleo, S. Miksch, P. Federico:
"CV3: Visual Exploration, Assessment, and Comparison of CVs";
Talk: 21st EG/VGTC Conference on Visualization (EuroVis 2019), Porto, Portugal; 2019-06-03 - 2019-06-07; in: "21st EG/VGTC Conference on Visualization (EuroVis 2019)", M. Gleicher, H. Leitte, I. Viola (ed.); Proceedings of the 21st EG/VGTC Conference on Visualization (EuroVis 2019), 38-3 (2019), ISSN: 0167-7055; 107 - 118.

English abstract:
The Curriculum Vitae (CV, also referred to as "résumé") is an established representation of a person's academic and professional history. A typical CV is comprised of multiple sections associated with spatio-temporal, nominal, hierarchical, and ordinal data. The main task of a recruiter is, given a job application with specific requirements, to compare and assess CVs in order to build a short list of promising candidates to interview. Commonly, this is done by viewing CVs in a side-by-side fashion. This becomes challenging when comparing more than two CVs, because the reader is required to switch attention between them. Furthermore, there is no guarantee that the CVs are structured similarly, thus making the overview cluttered and significantly slowing down the comparison process. In order to address these challenges, in this paper we propose "CV3", an interactive exploration environment offering users a new way to explore, assess, and compare multiple CVs, to suggest suitable candidates for specific job requirements. We validate our system by means of domain expert feedback whose results highlight both the efficacy of our approach and its limitations. We learned that CV3 eases the overall burden of recruiters thereby assisting them in the selection process.

CV, Resume, Visualization, Analysis, Comparison, Visual Analytics, Information Visualization

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Related Projects:
Project Head Silvia Miksch:

Project Head Silvia Miksch:
Integrierte Mentale Modelle kulturgeschichtlicher Daten

Created from the Publication Database of the Vienna University of Technology.