An integrated e‐recruitment system for automated personality mining and applicant ranking
Purpose–The purpose of this paper is to present a novel approach for recruiting and ranking
job applicants in online recruitment systems, with the objective to automate applicant pre …
job applicants in online recruitment systems, with the objective to automate applicant pre …
[PDF][PDF] Application of machine learning algorithms to an online recruitment system
In this work, we present a novel approach for evaluating job applicants in online recruitment
systems, leveraging machine learning algorithms to solve the candidate ranking problem …
systems, leveraging machine learning algorithms to solve the candidate ranking problem …
On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV
In this work we present a novel approach for evaluating job applicants in online recruitment
systems, using machine learning algorithms to solve the candidate ranking problem and …
systems, using machine learning algorithms to solve the candidate ranking problem and …
Ranking résumés automatically using only résumés: A method free of job offers
LA Cabrera-Diego, M El-Bèze… - Expert Systems with …, 2019 - Elsevier
With the success of the electronic recruitment, now it is easier to find a job offer and apply for
it. However, due to this same success, nowadays, human resource managers tend to …
it. However, due to this same success, nowadays, human resource managers tend to …
[PDF][PDF] How can we measure the similarity between résumés of selected candidates for a job?
LA Cabrera-Diego, B Durette, M Lafon… - Proceedings of the …, 2015 - researchgate.net
Several researches in Natural Language Processing (NLP) have developed e-Recruitment
systems. Despite these researches, none of them has been interested in the way the …
systems. Despite these researches, none of them has been interested in the way the …
Taxonomy development and its impact on a self-learning e-recruitment system
In this work we present a novel approach for evaluating job applicants in online recruitment
systems, using machine learning algorithms to solve the candidate ranking problem and …
systems, using machine learning algorithms to solve the candidate ranking problem and …
[图书][B] Using compositional writing samples to explore student usage patterns in a learning management system
BJ Kokensparger - 2013 - search.proquest.com
This study explored relationships between writing sample features and LMS usage patterns
for 366 college students who enrolled in Theology courses, junior-level courses cross-listed …
for 366 college students who enrolled in Theology courses, junior-level courses cross-listed …
Machine learning based cultural suitability index (CSI) for right task allocation
H Kulkarni, M Marathe - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
When a right person is working on a right task with appropriate context, he/she can do
wonders. It has always been a challenge to select the most suitable person for a given task …
wonders. It has always been a challenge to select the most suitable person for a given task …
Context vector convergence of computational behaviour and cultural traits for team selection
H Kulkarni, M Marathe - International Journal of Information …, 2020 - inderscienceonline.com
Selection of team for match, mission or project is always challenging since every mission is
different and every match brings new uncertainties. Your best resource may not be the right …
different and every match brings new uncertainties. Your best resource may not be the right …
Personality and education mining based job advisory system
Every job demands an employee with some specific qualities in addition to the basic
educational qualification. For example, an introvert person cannot be a good leader despite …
educational qualification. For example, an introvert person cannot be a good leader despite …