Precise Marketing Strategy Optimization of E-Commerce Platform Based on KNN Clustering

With the development of computer technology and the arrival of the era of artificial intelligence, the analysis of user demand bias is of great significance to the operation optimization of e-commerce platforms. Combined with CS domain signaling data, IP packet data of PS domain, and customer CRM da...

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Main Authors: Benfang Yang, Jiye Li
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/7957509
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author Benfang Yang
Jiye Li
author_facet Benfang Yang
Jiye Li
author_sort Benfang Yang
collection DOAJ
description With the development of computer technology and the arrival of the era of artificial intelligence, the analysis of user demand bias is of great significance to the operation optimization of e-commerce platforms. Combined with CS domain signaling data, IP packet data of PS domain, and customer CRM data provided by operators, this research studies each dimension index of operator user portrait, after that the operator user portrait platform is divided into some individual subunits, and then the corresponding data mining technology is carried out to study the implementation scheme of each subunit. The system can process and mine multidimensional data of operators’ users and form user portraits on the basis of user data aggregation. Finally, based on the operator user portrait platform studied in this paper, the operator user data are analyzed from both the user’s mobile phone use behavior and user consumption behavior. Furthermore, the application value of this research in the precision marketing and personalized service of operators is illustrated.
format Article
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institution Kabale University
issn 2314-4785
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-876c5a7ffb6f4aeeb180c6f86b314fb62025-08-20T03:38:01ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/7957509Precise Marketing Strategy Optimization of E-Commerce Platform Based on KNN ClusteringBenfang Yang0Jiye Li1School of Economics and ManagementSchool of Computer EngineeringWith the development of computer technology and the arrival of the era of artificial intelligence, the analysis of user demand bias is of great significance to the operation optimization of e-commerce platforms. Combined with CS domain signaling data, IP packet data of PS domain, and customer CRM data provided by operators, this research studies each dimension index of operator user portrait, after that the operator user portrait platform is divided into some individual subunits, and then the corresponding data mining technology is carried out to study the implementation scheme of each subunit. The system can process and mine multidimensional data of operators’ users and form user portraits on the basis of user data aggregation. Finally, based on the operator user portrait platform studied in this paper, the operator user data are analyzed from both the user’s mobile phone use behavior and user consumption behavior. Furthermore, the application value of this research in the precision marketing and personalized service of operators is illustrated.http://dx.doi.org/10.1155/2022/7957509
spellingShingle Benfang Yang
Jiye Li
Precise Marketing Strategy Optimization of E-Commerce Platform Based on KNN Clustering
Journal of Mathematics
title Precise Marketing Strategy Optimization of E-Commerce Platform Based on KNN Clustering
title_full Precise Marketing Strategy Optimization of E-Commerce Platform Based on KNN Clustering
title_fullStr Precise Marketing Strategy Optimization of E-Commerce Platform Based on KNN Clustering
title_full_unstemmed Precise Marketing Strategy Optimization of E-Commerce Platform Based on KNN Clustering
title_short Precise Marketing Strategy Optimization of E-Commerce Platform Based on KNN Clustering
title_sort precise marketing strategy optimization of e commerce platform based on knn clustering
url http://dx.doi.org/10.1155/2022/7957509
work_keys_str_mv AT benfangyang precisemarketingstrategyoptimizationofecommerceplatformbasedonknnclustering
AT jiyeli precisemarketingstrategyoptimizationofecommerceplatformbasedonknnclustering