LEVERAGING SVM, DECISION TREES, AND BLOCKCHAIN TECHNOLOGIES FOR COMPREHENSIVE AUTOMATED RESUME SCREENING IN HUMAN RESOURCE SYSTEMS

Harikumar Nagarajan; Surendar Rama Sitaraman; R. Pushpakumar

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Harikumar Nagarajan Author
Surendar Rama Sitaraman Author
R. Pushpakumar Author

Keywords:

SVM, decision trees, blockchain, resume screening, recruiting, HR systems, data security, automation, candidate evaluation, machine learning

Abstract

Support Vector Machines (SVM), decision trees, and blockchain technologies transform resume screening by rectifying inefficiencies in conventional recruitment methods. These technologies improve categorisation precision, interpretability, and data security,
facilitating automated, transparent, and efficient candidate selection in human resource systems

LEVERAGING SVM, DECISION TREES, AND BLOCKCHAIN TECHNOLOGIES FOR COMPREHENSIVE AUTOMATED RESUME SCREENING IN HUMAN RESOURCE SYSTEMS

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