JOB APPLICANT QUALITY MODEL

A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for Candidate Predictor Engine ("C.P. Engine") instantiates data structure(s) modeled according to a plurality of job candidate predictor decision trees. The C.P. Engine...

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Bibliographische Detailangaben
Hauptverfasser: Lewis Monica Marie, Guo Songtao, Saxena Vibhu Prakash, Huang Fangzi, Rucker Aaron Tyler
Format: Patent
Sprache:eng
Schlagworte:
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Zusammenfassung:A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for Candidate Predictor Engine ("C.P. Engine") instantiates data structure(s) modeled according to a plurality of job candidate predictor decision trees. The C.P. Engine encodes data representing a job candidate context feature set based on an attribute(s) of a target candidate account and an attribute(s) of a job posting. The C.P. Engine filters each respective feature from the job candidate context feature set through a job candidate predictor decision tree that corresponds to a same job candidate context feature type as the respective feature. The C.P. Engine generates prediction output based on each result of filtering through the job candidate predictor decision trees. The prediction output indicates a likelihood of the target candidate account being qualified for the job posting.