JobViz:Skill-driven visual exploration of job advertisements  

作　　者：Ran Wang Qianhe Chen Yong Wang Lewei Xiong Boyang Shen 

机构地区：[1]School of Journalism and Information Communication,Huazhong University of Science and Technology,Wuhan,China [2]School of Computer Science and Technology,Huazhong University of Science and Technology,Wuhan,China [3]College of Computing and Data Science,Nanyang Technological University,Singapore,Singapore [4]Wuhan National Laboratory for Optoelectronics,Wuhan,China [5]Philosophy and Social Science Laboratory of Big Data and National Communication Strategy,Ministry of Education,Wuhan,China

出　　处：《Visual Informatics》2024年第3期18-28,共11页可视信息学（英文）

基　　金：founded by Huazhong University of Science and Technology Teaching Research Project number(s):2023100.

摘　　要：Online job advertisements on various job portals or websites have become the most popular way for people to find potential career opportunities nowadays.However,the majority of these job sites are limited to offering fundamental filters such as job titles,keywords,and compensation ranges.This often poses a challenge for job seekers in efficiently identifying relevant job advertisements that align with their unique skill sets amidst a vast sea of listings.Thus,we propose well-coordinated visualizations to provide job seekers with three levels of details of job information:a skill-job overview visualizes skill sets,employment posts as well as relationships between them with a hierarchical visualization design;a post exploration view leverages an augmented radar-chart glyph to represent job posts and further facilitates users’swift comprehension of the pertinent skills necessitated by respective positions;a post detail view lists the specifics of selected job posts for profound analysis and comparison.By using a real-world recruitment advertisement dataset collected from 51Job,one of the largest job websites in China,we conducted two case studies and user interviews to evaluate JobViz.The results demonstrated the usefulness and effectiveness of our approach.

关 键 词：Visual exploration Job advertisements Skill-driven 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]