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Theory and Practice of Artificial Intelligence Recommendation System in Precision Marketing--Taking TikTok as an Example
  • ISSN:3041-0843(Online) 3041-0797(Print)
  • DOI:10.69979/3041-0843.25.02.004
  • 出版频率:季刊
  • 语言:英文
  • 收录数据库:ISSN:https://portal.issn.org/ 中国知网:https://scholar.cnki.net/journal/search

Theory and Practice of Artificial Intelligence Recommendation System in Precision Marketing--Taking TikTok as an Example
Li Yingying

Liaoning University of International Business and Economics, Dalian Liaoning116000

Abstract:The artificial intelligence recommendation system has reconstructed the precision marketing paradigm by relying on big data models, and theTikTok e-commerce platform is a pioneer among them. TikTok's intelligent recommendation system drives four major innovations: intelligent product selection, intelligent marketing, intelligent shopping guide and intelligent customer service. However, the system faces problems such as increased information cocooning, algorithmic bias and user privacy anxiety. The optimization path needs to integrate technological improvement, institutional transparency and user empowerment, and promote the transformation of algorithms from "efficiency tools" to "value coordinators", so as to achieve a balance between commercial value and social well-being.

Keywords:AI recommendation system;precision marketing;TikTok;intelligent marketing

Reference

[1]China Academy of Information and Communications Technology,Digital Trust Development Report (2025),2025.

[2]Weiboyi, A Guide to the Application of the New AI Marketing Paradigm ,2025.

[3]Alibaba,Deep Interest Network for Click-Through Rate Prediction, 2017.