Ranking résumés automatically using only résumés: A method free of job offers

作者：

Highlights：

• Innovative methods for ranking résumés or curriculum vitae automatically

• Methods based on the similarity between résumés instead of résumés and a job offer

• Free of external resources such as word embedding and ontologies

• Experiments done over a large corpus of real recruitment and selection processes

• In average, 93% of résumés are ranked correctly.

摘要

•Innovative methods for ranking résumés or curriculum vitae automatically•Methods based on the similarity between résumés instead of résumés and a job offer•Free of external resources such as word embedding and ontologies•Experiments done over a large corpus of real recruitment and selection processes•In average, 93% of résumés are ranked correctly.

论文关键词：Résumé,Curriculum vitae,Recommendation system,Relevance feedback,e-Recruitment,Ranking,Mean average precision

论文评审过程：Received 18 May 2018, Revised 30 November 2018, Accepted 29 December 2018, Available online 31 December 2018, Version of Record 16 January 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.12.054