Automated Collaborative Filtering Applications for Online Recruitment Services
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Semantic matching between job offers and job search requests: COLING 90
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 1
Matching People and Jobs: A Bilateral Recommendation Approach
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 06
A comparative study of IT/IS job skills and job definitions
Proceedings of the 2007 ACM SIGMIS CPR conference on Computer personnel research: The global information technology workforce
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
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In the last few years there appears to be a paradigm shift in the job recruitment field, from physical contact between recruiters and job seekers to e-recruiting. This paper describes a web application that aids both recruiters and job seekers. A local vacancy database was created by retrieving vacancies from job boards. Data extractors were implemented to automatically extract features such as the function title, job requirements text and required education, skills and competences from the retrieved vacancies. The prototype was able to show that improved result ranking and relevant CV-vacancy matches are achievable.