Research on AI-Driven Advertising Optimization and Automated Decision System

Qingyang Zhang

Authors

Qingyang Zhang Simon Business School, University of Rochester, Rochester, NY, 14627, United States Author

Keywords:

artificial intelligence, advertising placement, deep learning, reinforcement learning, automated decision-making

Abstract

This paper conducts an in-depth exploration of the introduction of artificial intelligence technology in the advertising placement process. Centered on the user behavior pattern constructed with deep learning as the core and the process-based advertising decision-making applying reinforcement learning, an artificial intelligence-driven advertising placement system is constructed, including functions such as data collection and processing, model training and optimization, automated decision-making, and automatic placement control. After practical verification, it can significantly enhance the intelligence of advertising placement and the efficiency of resource allocation, and has promising application prospects and significant social value.

References

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