Design and Development of an Intelligent Advertising Placement Decision System

This paper puts forward the design and development scheme of Intelligent Advertising Placement Decision System (IAPDS), aiming at solving the pain points in the traditional advertising mode and improving the accuracy and effect of advertising. Through in-depth analysis of the research status and challenges in the field of advertising, this paper designs a set of IAPDS based on big data analysis, machine learning and deep learning technology. The system includes data collection, storage, processing, business logic and display modules, and realizes the functions of user portrait construction, advertising strategy formulation, advertising effect prediction and evaluation. Through the system function test and performance test, the accuracy and effectiveness of the system in user portrait construction, advertising strategy formulation and advertising effect prediction and evaluation are verified. The experimental results show that, compared with the traditional advertising system, the IAPDS designed in this paper can more accurately match users’ interests and needs, effectively improve the click-through rate and conversion rate of advertisements, and provide strong support for the digital transformation of the advertising industry. This study not only has theoretical value, but also has broad application prospects.