Model optimization method and device based on deep neural network, equipment and medium

• Main Authors: FANG JIANJIAN, LIN FAN, WEI RONG, XIE WEIBIN, LIANG BO, WEI LI, LIU XING, CHEN MINRU, QIU QITING
• Format: Patent
• Language: Chinese; English
• Published: 03.11.2023
• 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; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to the field of computers, and provides a model optimization method and device based on a deep neural network, equipment and a medium, and the method comprises the steps: determining a first user channel vector based on a user dense feature, a user sparse feature and a channel feature, and training a deep neural network of a user channel based on the first user channel vector, obtaining an optimized user channel marketing model; determining a first product channel vector based on the product dense feature, the product sparse feature and the channel feature, and training a deep neural network of the product channel based on the first product channel vector to obtain an optimized product channel marketing model; and obtaining an optimized marketing model based on the optimized user channel marketing model and the optimized product channel marketing model. According to the model optimization method based on the deep neural network provided by the embodiment of the invention, the optimal com