Talent recommendation method based on big data matching

• Main Author: XIAO SHIQIN
• Format: Patent
• Language: Chinese; English
• Published: 08.08.2023
• Subjects: ACOUSTICS; CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; MUSICAL INSTRUMENTS; PHYSICS; SPEECH ANALYSIS OR SYNTHESIS; SPEECH OR AUDIO CODING OR DECODING; SPEECH OR VOICE PROCESSING; SPEECH RECOGNITION; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a talent recommendation method based on big data matching, and relates to the field of talent recommendation. According to the talent recommendation method based on big data matching, each part in a resume is split through a resume analysis module, and each part in the split resume is matched with an enterprise recruitment requirement through a resume matching module, so that the situation that the workload of a system is increased due to global matching of the resume can be avoided; the resumes conforming to the recruitment enterprise are sent to the enterprise for screening, and the facial features in the previous interview video of the job seeker are captured through the facial feature capturing module, so that the change of the facial expression of the job seeker in the interview process can be detected in real time, and the psychological change and the response ability of the job seeker are detected; the interview voice of the job seeker is analyzed through the voice analysis modu