Proposal for a machine learning-based implementation model for the recruitment of engineering professionals at a public university
This research aimed to develop and evaluate a machine learning model to optimize the hiring process of engineering professionals at a public university by reducing evaluation time, errors, and subjectivity in CV screening. A quantitative, applied, quasi-experimental approach was used, combining TF-IDF natural language...