Application of Big Data Technology in User Behavior Analysis of E-commerce Platforms

With the rapid development of the Internet and e-commerce, e-commerce platforms have accumulated huge amounts of user behavior data. The emergence of big data technology provides a powerful means for in-depth analysis of these data and insight into user behavior patterns and preferences. This paper elaborates on the application of big data technology in the analysis of user behavior on e-commerce platforms, including the technical methods of data collection, storage, processing and analysis, as well as the specific applications in the construction of user profiles, precision marketing, personalized recommendation, user retention and churn analysis, etc., and discusses the challenges and countermeasures faced in the application. Through the study of actual cases, it demonstrates the remarkable effectiveness of big data technology in enhancing the competitiveness of e-commerce platforms and user experience.

Authors

Institutions

Publication Details

Journal
Journal of Electronic Research and Application
Published
2025-05-29
DOI
https://doi.org/10.26689/jera.v9i3.10598
Citations
1
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
2.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Big Data Technology in User Behavior Analysis of E-commerce Platforms

Yuanyuan Jia
1 citations
Journal of Electronic Research and Application
E-commerce and Technology Innovations
2.45
article

Application of Big Data Technology in User Behavior Analysis of E-commerce Platforms

Yuanyuan Jia
article en
1 citations

Abstract

With the rapid development of the Internet and e-commerce, e-commerce platforms have accumulated huge amounts of user behavior data. The emergence of big data technology provides a powerful means for in-depth analysis of these data and insight into user behavior patterns and preferences. This paper elaborates on the application of big data technology in the analysis of user behavior on e-commerce platforms, including the technical methods of data collection, storage, processing and analysis, as well as the specific applications in the construction of user profiles, precision marketing, personalized recommendation, user retention and churn analysis, etc., and discusses the challenges and countermeasures faced in the application. Through the study of actual cases, it demonstrates the remarkable effectiveness of big data technology in enhancing the competitiveness of e-commerce platforms and user experience.

Journal of Electronic Research and ApplicationVol. 9(3)
Amazon (United States) (US), Bellevue Hospital Center (US)
Openalex Percentile: Top 12%
E-commerce and Technology Innovations
2.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.