Research and Implementation of E-commerce Advertising Content Optimization Based on Artificial Intelligence

DOI

10.2991/978-94-6463-266-8_43How to use a DOI?

Keywords

artificial intelligence; E-commerce advertising; Content optimization

Abstract

In the last decade, e-commerce has developed rapidly and created convenience for consumers. In order to increase operational efficiency and improve service quality, many e-commerce companies are constantly looking for new trends and seeking to meet consumer demand. Research and study various SP display formats and effectively analyze their work; It can clearly reflect users’ language preferences and can be implemented in a multitasking learning model. The multitask learning model uses CTR prediction function to improve SP prediction. The emergence of artificial intelligence has opened up new ideas and models for the development of e-commerce, and the value of e-commerce will be everything.

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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TY  - CONF
AU  - Mengdan Xia
PY  - 2023
DA  - 2023/10/10
TI  - Research and Implementation of E-commerce Advertising Content Optimization Based on Artificial Intelligence
BT  - Proceedings of the 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023)
PB  - Atlantis Press
SP  - 404
EP  - 410
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-266-8_43
DO  - 10.2991/978-94-6463-266-8_43
ID  - Xia2023
ER  -