Deep learning-based talent recommendation method and system

• Main Authors: GUO WEI, WANG CUNGANG
• Format: Patent
• Language: Chinese; English
• Published: 01.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a talent recommendation method and system based on deep learning, and relates to the technical field of information.The talent recommendation method comprises the steps that talent information of a talent information system is obtained and analyzed, and a talent data sequence corresponding to the talent information is obtained; acquiring talent demand information of the user and analyzing the talent demand information to obtain a demand data sequence corresponding to the user, building and training a coding and decoding neural network of a talent recommendation model based on the demand data sequence, acquiring the talent recommendation model based on the coding and decoding neural network, and inputting the talent data sequence into the talent recommendation model, and outputting a talent recommendation scheme corresponding to the user, and finally feeding back the talent recommendation scheme to the corresponding user. The talent recommendation method has the advantages that the talen