Abstract
In Malaysia, JobStreet is one of the most popular job search engines for job seekers. There are thousands of available positions posted on the website by numerous companies. Due to many choices available for the job seekers, ability to quickly find the jobs that met their criteria such as location, industry, job role and specialization will be a help. Currently, JobStreet only allows job filtering by specialization and state. To get more details for the job, they need to spend significant amount of time reading the descriptions. Thus, in order to assist the users in their job seeking process, this project proposes a system which will use interactive visualization with incremental filtering that consists of heat map and barcharts. The developed system allows users to filter and get an overview of all posted jobs that met their criteria in less time.
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Acknowledgment
The authors are grateful to the Research Management Centre (RMC) UiTM for providing and supporting the research (600-RMI/DANA 5/3/REI (16/2015)).
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Bakri, M., Abidin, S.Z.Z., Shargabi, A. (2017). Incremental Filtering Visualization of JobStreet Malaysia ICT Jobs. In: Mohamed, A., Berry, M., Yap, B. (eds) Soft Computing in Data Science. SCDS 2017. Communications in Computer and Information Science, vol 788. Springer, Singapore. https://doi.org/10.1007/978-981-10-7242-0_16
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DOI: https://doi.org/10.1007/978-981-10-7242-0_16
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