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Standard-Based Bidirectional Decision Making for Job Seekers and Employers

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Cooperative Design, Visualization, and Engineering (CDVE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10451))

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Abstract

In this research we designed and developed an ontology-driven decision support system (DSS) for (1) electronic recruitment processes in organizations operating in Thailand and for (2) job seekers trying to find appropriate employment in the country. The database holding the job profiles has been designed in accordance with the standards of the Department of Employment (Ministry of Labour, Thailand), and it is used to mutually match the required criteria with the offered properties. For this, a score is calculated from the required properties that gives a percentage based fit rate harnessing the statistical part of the ontology. The DSS can also be used for staffing project teams or preparing for succession through channeling employees to appropriate positions within the company by matching the required and the offered profile data.

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References

  1. Domeniconi, G., Moro, G., Pagliarani, A., Pasini, K., Pasolini, R.: Job recommendation from semantic similarity of LinkedIn users’ skills. In: 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM), pp. 270–277, Rome, Italy (2016)

    Google Scholar 

  2. Färber, F, Weitzel, T, Keim, T.: An automated recommendation approach to selection in personnel recruitment. In: Proceedings of AMCIS, AISeL, Tampa, FL, USA (2003)

    Google Scholar 

  3. Bobadilla, J., Serradilla, F., Bernal, J.: A new collaborative filtering metric that improves the behavior of recommender systems. Knowl.-Based Syst. 23, 520–528 (2010)

    Article  Google Scholar 

  4. Bernardes, D., Diaby, M., Fournier, R., Fogelmann-Soulie, F., Viennet, E.: A social formalism and survey for recommender systems. SIGKDD Explor. 16(2), 20–37 (2013)

    Article  Google Scholar 

  5. Giordano, D., Kavasidis, I., Pino, C., Spampinato, C.: Content based recommender system by using eye gaze data. In: ETRA 2012, pp. 369–372, Santa Barbara, CA (2012)

    Google Scholar 

  6. Marchionini, G., Hass S., Plaisant, C., Shneiderman, B, Heart, C.: Towards a statistical knowledge network. In: Proceedings of the 2003 Annual National Conference on Digital Government Research, pp. 1–6. Boston, MA, USA (2003)

    Google Scholar 

  7. Department of Employment, Ministry of Labour. Career information. In: Bpit Printing Company Ltd., Bangkok (2006)

    Google Scholar 

  8. Mochol, M., Oldakowski, R., Heese, R.: Ontology based recruitment process. In: Workshop: Semantische Technologien für Informationsportale INFORMATIK 2004, Ulm, Germany (2004)

    Google Scholar 

  9. Ruotsalo., T.: Methods and applications for ontology-based recommender systems. Doctoral dissertation Helsinki 2010, TKK Dissertation 222 (2010)

    Google Scholar 

  10. ILO Homepage. http://www.ilo.org/public/english/bureau/stat/isco/isco08/. Accessed 20 Feb 2017

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Correspondence to Chakkrit Snae Namahoot .

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Namahoot, C.S., Brückner, M. (2017). Standard-Based Bidirectional Decision Making for Job Seekers and Employers. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2017. Lecture Notes in Computer Science(), vol 10451. Springer, Cham. https://doi.org/10.1007/978-3-319-66805-5_2

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  • DOI: https://doi.org/10.1007/978-3-319-66805-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66804-8

  • Online ISBN: 978-3-319-66805-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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