JobViz: skill-driven visual exploration of job advertisements
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. Thi...
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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/181447 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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