Optimization and Theoretical Exploration of Intelligent Advertising System Based on Big Data and Artificial Intelligence

Lan Shi and Dandan Lu ()
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Lan Shi: Guangxi University of Finance and Economics, School of Journalism and Cultural Communication
Dandan Lu: Guangxi University of Finance and Economics, School of Business Administration

A chapter in Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024), 2024, pp 20-28 from Springer

Abstract: Abstract Intelligent advertising combines AI and big data technologies to achieve accurate placement of personalized advertising content by analyzing user behavior and preferences. This paper introduces the construction concept of AdMind, a smart advertising platform, which realizes the whole-process intelligent management of the advertising business process through a full-stack AI tool chain, from data set interface to advertising effect tracking. AdMind platform automates the generation of advertising creative, optimizes the delivery strategy, and monitors the advertising effect in real time through deep learning and intelligent algorithms, forming a self-perfecting closed-loop system. Meanwhile, this paper also looks forward to the future application prospects of smart advertising, including the potential impact of deep learning, edge computing and blockchain technology in improving advertising accuracy and user experience.

Keywords: Intelligent Advertising; Big Data; Artificial Intelligence; Personalized Recommendation; Advertising Effect (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-636-9_4

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