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JobScan

Published: 22 June 2012 Publication History

Abstract

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.

References

[1]
Keim, T.: Extending the Applicability of Recommender Systems: A Multilayer Framework for Matching Human Resources, Proceedings of the 40th Hawaii International Conference on System Sciences (HICSS'07), 2007.
[2]
Kraaij, W., Pohlmann, R.: Porter's stemming algorithm for Dutch, Informatiewetenschap 1994: Wetenschappelijke bijdragen aan de derde STINFON Conferentie, pp. 167--180, 1994.
[3]
Malinowski, J., Wendt, O., Keim, T., Weitzel, T.: Matching People and Jobs: A Bilateral Recommendation Approach, Proceedings of the 39th Hawaii International Conference on on System Sciences (HICSS'06), 2006.
[4]
Nelson, H. J., Ahmad, A., Martin, N. L., Litecky, C. R.: A Comparative Study of IT/IS Job Skills and Job Definitions, SIGMIS-CPR'07, April 19--21 2007, 2007.
[5]
Rafter, R., Bradley, K., Smyth, B.: Automated Collaborative Filtering Applications for Online Recruitment Services, AH 2000, LNCS 1892, pp. 363--368, 2000.
[6]
Vega, J.: Semantic Matching Between Job Offers and Job Search Requests, Proceedings of COLING'90, pp.67--69, 1990.

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cover image ACM Other conferences
CompSysTech '12: Proceedings of the 13th International Conference on Computer Systems and Technologies
June 2012
440 pages
ISBN:9781450311939
DOI:10.1145/2383276
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 June 2012

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Author Tags

  1. clustering technologies
  2. data retrieval
  3. data-bases
  4. e-recruiting
  5. web application

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  • Research-article

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CompSysTech'12

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Overall Acceptance Rate 241 of 492 submissions, 49%

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