CV3: Visual Exploration, Assessment, and Comparison of CVs

dc.contributor.authorFilipov, Velitchkoen_US
dc.contributor.authorArleo, Alessioen_US
dc.contributor.authorFederico, Paoloen_US
dc.contributor.authorMiksch, Silviaen_US
dc.contributor.editorGleicher, Michael and Viola, Ivan and Leitte, Heikeen_US
dc.date.accessioned2019-06-02T18:27:29Z
dc.date.available2019-06-02T18:27:29Z
dc.date.issued2019
dc.description.abstractThe 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.en_US
dc.description.number3
dc.description.sectionheadersAnalysis Applications and Systems
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume38
dc.identifier.doi10.1111/cgf.13675
dc.identifier.issn1467-8659
dc.identifier.pages107-118
dc.identifier.urihttps://doi.org/10.1111/cgf.13675
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13675
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectInformation visualization
dc.subjectVisual analytics
dc.titleCV3: Visual Exploration, Assessment, and Comparison of CVsen_US
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