CV3: Visual Exploration, Assessment, and Comparison of CVs

作     者：Filipov, V Arleo, A. Federico, P. Miksch, S. 

作者机构：Vienna Univ Technol TU Wien Vienna Austria Nokia Vimercate Italy 

出 版 物：《COMPUTER GRAPHICS FORUM》 (计算机图形学论坛)

年 卷 期：2019年第38卷第3期

页      面：107-118页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Research Cluster "Smart Communities and Technologies (Smart CT)" at TU Wien Austrian Science Fund (FWF) [AR 384-G24, P28363] Austrian Science Fund (FWF) [P28363] Funding Source: Austrian Science Fund (FWF) 

主　　题：CCS Concepts • Human‐centered computing → Information visualization Visual analytics 

摘      要：The Curriculum Vitae (CV, also referred to as resume) 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.