Authors:
Iuliana Marin
1
and
Hanoosh Amel
2
Affiliations:
1
Faculty of Engineering in Foreign Languages, University Politehnica of Bucharest, Splaiul Independenței 313, Bucharest, Romania
;
2
Ministry of Education, Directorate of Almuthanna Education, Muthanna, Iraq
Keyword(s):
Jobs, Skills, Recruitment Platform, Recommendations, Machine Learning.
Abstract:
After three years of dealing with a global medical catastrophe, our society is attempting to re-establish normalcy. While companies are still struggling to get back on track, workers have grown afraid to seek new jobs, either because they offer low pay or an uncertain schedule. The result is a disconnected environment that does not merge, even though it appears to. The proposed approach creates a suitable recommender system for those looking for jobs in data science. The first-hand information is gathered by collecting Indeed.com’s data science job listings, analysing the top talents that employers value, and generating job ideas by matching a user’s skills to openings that have been listed. This process of job suggestion would assist the user in concentrating on the positions where he has the greatest chance of succeeding rather than applying to every position in the system. With the aid of this recommendation system, a recruiter’s burden would be decreased because it lowers the qua
ntity of undesirable prospects.
(More)