A matching approach based on term clusters for erecruitment
16th Industrial Conference on Advances in Data Mining, ICDM 2016, New York, Amerika Birleşik Devletleri, 13 - 17 Temmuz 2016, cilt.9728, ss.394-404, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 9728
- Doi Numarası: 10.1007/978-3-319-41561-1_29
- Basıldığı Şehir: New York
- Basıldığı Ülke: Amerika Birleşik Devletleri
- Sayfa Sayıları: ss.394-404
- Boğaziçi Üniversitesi Adresli: Evet
Özet
As the Internet occupies our daily lives in all aspects, finding jobs/employees online has an important role for job seekers and companies that hire. However, it is difficult for a job applicant to find the best job that matches his/her qualifications and also it is difficult for a company to find the best qualified candidates based on the company’s job advertisement. In this paper, we propose a system that extracts data from free-structured job advertisements in an ontological way in Turkish language. We describe a system that extracts data from resumés and jobs to generate a matching system that provides job applicants with the best jobs to match their qualifications. Moreover, the system also provides companies to find the best fit for their job advertisement.