Automated Recruitment Tools: Current Trends and Further Directions

Satish S. Narkhede; Isha P. Kulkarni

Automated Recruitment Tools: Current Trends and Further Directions

Authors: Satish S. Narkhede, Isha P. Kulkarni

Unique Paper ID: 153760
Volume: 8
Issue: 8
PageNo: 439-443

Keywords: Artificial Intelligence Automated Recruiting Machine Learning.

Abstract:
Exponential and multifold increase in the requirements for diverse job profiles and subsequent flooding response for the vacancies, pose a serious limitation on the time bound manual hiring process. In such a scenario automated recruiter systems are emerging to facilitate the screening, background verification, payroll, and other administrative task which not only can save time, money, and efforts and also ensure selection of the best candidate. Artificial Intelligence powered recruiting systems are studied and presented in this research study. Role of Machine Learning algorithms like Decision trees for predicting the suitability and the performance is explored. Various current research trends and algorithmic developments are summarized and future directions are listed from the perspective of practically deployable automated recruiting systems.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 8
PageNo: 439-443

Automated Recruitment Tools: Current Trends and Further Directions

Available:https://ijirt.org/Article?manuscript=153760

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now