Next-Generation AI Recruitment: Advanced Machine Learning for Tailored Job Matching and Strategic Talent Management.

Jayasree, Krishnan and Kayalvizhiroja, T (2020) Next-Generation AI Recruitment: Advanced Machine Learning for Tailored Job Matching and Strategic Talent Management. The Academic - International Journal of Multidisciplinary Research, 2. pp. 489-504. ISSN 2583-973X

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Abstract

Artificial intelligence or AI is fast making way for Machine Learning or ML in an area known as Human Resource Management, or HRM for their recruitment activities and matching candidates with jobs. The old way of recruitment, based very much on human judgment, often results in an inefficient, biased, and inconsistent recruitment process. With more organizations taking up the new AI-enabled solutions to make the largest transformation toward automation and data-driven decision making, there is an improvement in reducing hiring biases, streamlining candidate screening, and optimizing job fit. This study is concerned with the applications of developing training and deploying an AI-based model where advanced ML techniques use optimal job fit. The study tries to get perfectly accurate, fair, and complete candidate matching processes focusing on the methods of NLP (Natural Language Processing), dimensionality reduction, and ensemble learning algorithms. It constitutes the life collection and preprocessing of that data, feature engineering, and model selection followed by evaluation and interpretability analysis.

Item Type: Article
Subjects: Management Studies > Human Resource Management
Domains: Management Studies
Depositing User: Mr IR Admin
Date Deposited: 13 May 2026 09:43
Last Modified: 13 May 2026 10:02
URI: https://ir.vistas.ac.in/id/eprint/19532

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