JobViz：技能驱动的招聘广告可视化探索
JobViz: Skill-driven Visual Exploration of Job Advertisements
AI总结：
针对招聘网站基础筛选难以匹配求职者技能的问题，本文提出 JobViz 三层交互式可视化，并基于 51Job 真实数据通过案例研究和访谈验证其有效性。
摘要：
如今，各类招聘门户或网站上的在线招聘广告已成为人们寻找潜在职业机会的最主要方式。然而，这些招聘网站大多仅限于提供职位名称、关键词和薪资范围等基础筛选条件。这往往使求职者难以在海量招聘信息中高效识别出符合自身独特技能组合的相关招聘广告。因此，我们提出了协调良好的可视化方案，为求职者提供三个层级的工作信息详情：技能—职位概览采用层次化可视化设计，将技能组合、招聘岗位及其相互关系进行可视化；岗位探索视图利用增强型雷达图字形来表示岗位，并进一步帮助用户快速理解各职位所需的相关技能；岗位详情视图列出所选招聘岗位的具体信息，以便进行深入分析和比较。我们使用从中国最大招聘网站之一 51Job 收集的真实招聘广告数据集，开展了两个案例研究和用户访谈以评估 JobViz。结果证明了我们方法的实用性和有效性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
