Online Recruitment Management System based on Natural Language Processing
This paper introduces a method for solving recruitment and job application manage-ment problems using natural language processing techniques.We propose three algorithms to ad-dress the challenges of resume screening,interview evaluation,and candidate recommendation.Experimental evaluations are conducted within a real-world online recruitment and job applica-tion management system.The results demonstrate that our algorithms outperform the baseline algorithms and exhibit better performance and effectiveness across all three tasks.
recruitment and job application managementnatural language processing
万方数据
维普
