Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024)

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

Authors
Lan Shi1, Dandan Lu2, *
1School of Journalism and Cultural Communication, Guangxi University of Finance and Economics, Nanning, Guangxi, China
2School of Business Administration, Guangxi University of Finance and Economics, Nanning, Guangxi, China
*Corresponding author. Email: ludandan163@163.com
Corresponding Author
Dandan Lu
Available Online 31 December 2024.
DOI
10.2991/978-94-6463-636-9_4How to use a DOI?
Keywords
Intelligent Advertising; Big Data; Artificial Intelligence; Personalized Recommendation; Advertising Effect
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.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
31 December 2024
ISBN
978-94-6463-636-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-636-9_4How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Lan Shi
AU  - Dandan Lu
PY  - 2024
DA  - 2024/12/31
TI  - Optimization and Theoretical Exploration of Intelligent Advertising System Based on Big Data and Artificial Intelligence
BT  - Proceedings of the 2024 International Conference on Digital Economy and Marxist Economics (ICDEME 2024)
PB  - Atlantis Press
SP  - 20
EP  - 28
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-636-9_4
DO  - 10.2991/978-94-6463-636-9_4
ID  - Shi2024
ER  -