Internet + Technology in the Exhibition Market Intelligent Marketing Digital System Research

This article has the enterprise marketing behavior of a variety of factors for a detailed analysis. The database technology and intelligent multi-agent intelligent marketing model are organically integrated, trying to build a set of intelligent marketing strategy system suitable for enterprises. This paper proposes a multi-level application model based on J2EE platform. According to the design requirements of the system, the explicit structural relationship between the presentation layer, the middle layer and the bottom data layer is designed. The business logic of the program is separated from the user interface, giving the user a simple and convenient interface, while not affecting the normal use of the customer. This project intends to study the user modeling method for personalized marketing based on deep neural networks. Through PGBN-based deep neural network and Gibbs up-down sampling technology, this paper establishes and train users' images and interests and other information to achieve the extraction of users' interests and hobbies. This method can better obtain more user attribute information, which is of great help to achieve accurate marketing.