Systems and methods for prioritizing job candidates using a decision-tree forest algorithm

摘要

Computer-based systems and methods for prioritizing a list of job candidates for a job opening(s) with a hiring firm use the Random Forest algorithm, in which a number of decision trees are generated and the job candidates' respective probabilities of being the right fit for the hiring firm and for the position(s) are computed using the forest of decision trees. The job candidates may then be ranked according to their computed hiring probability. Non-conventional variables can be used, such as social media-related variables and external industry variables, such as the candidates' driving records. Other non-conventional variables that can be used include results from a personality or behavior assessment, results from a third-party skill assessment, and performance evaluations for prior projects or jobs of the candidates.