Research on accurate marketing of e-commerce based on K-Means algorithm
In recent years, e-commerce accurate marketing has attracted more and more attention. In accurate marketing, accurate calculation of user purchase behavior is the most important link. However, due to the diversity, complexity and variability of user data, traditional technical means are difficult to deal with, while data mining technology can help process data and extract effective information from these massive data, so this technology has received high attention in the field of e-commerce precision marketing. In this paper, an accurate marketing method of e-commerce based on K-means algorithm is proposed, hoping to provide a more accurate and intelligent marketing strategy for enterprises.
Authors
- X. T. Liao (ORCID: https://orcid.org/0009-0004-9266-3940)
- Xinyi Wang (ORCID: https://orcid.org/0009-0006-0731-6069)
Institutions
- Jinggangshan University (CN)
- University of Manchester (GB)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procs.2025.04.706
- Primary Topic
- AI and Multimedia in Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00