METHOD DEVICE AND SYSTEM FOR MATCHING AND RECOMMENDING HUMAN RESOURCE BASED ON ARTIFICIAL INTELLIGENCE USING VIDEO CONTENT PLATFORM SERVICE

摘要

According to one embodiment, in a method for matching and recommending talents based on artificial intelligence using a video content platform service, performed by a device, based on job seekers' content collected through the video content platform, analyzing the job seeker's behavioral patterns by checking the type, access log, and user feedback status; extracting job seeker competency information obtained by leveling the job seeker's competency by item, based on the analysis result of the job seeker's behavioral patterns; based on the company data collected from the database, analyzing the company's preferences and excellent talent types by identifying the company's industry group, business field, required job and corporate culture; extracting talent characteristic information obtained by leveling the customized talent characteristics of the company for each item based on the analysis result of the company's preferences and excellent talent types; generating a matching result by matching the job seeker competency information and the talent characteristic information; applying the matching result to an artificial neural network, and selecting a job seeker suitable for the company based on the output of the artificial neural network; transmitting recommendation information for the selected job seeker to a terminal in charge, and transmitting matching information for the company to the job seeker terminal; And based on the matching result, there is provided an artificial intelligence-based talent matching and recommendation method using a video content platform service, comprising the step of performing deep learning to modify or advance a system algorithm for matching talent.