Visual Analysis of E-Commerce User Behavior Based on Log Mining
With the continuous development of internet economy and e-commerce, the scale of data produced by users on e-commerce platform is increasing explosively. Mining the behavior of individual users and group users from massive user behavior data and analyzing the value and law behind the data are of gre...
Saved in:
Main Authors: | Tingzhong Wang, Nanjie Li, Hailong Wang, Junhong Xian, Jiayi Guo |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Advances in Multimedia |
Online Access: | http://dx.doi.org/10.1155/2022/4291978 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Log Pattern Mining for Distributed System Maintenance
by: Jia Chen, et al.
Published: (2020-01-01) -
User avoidance behavior in pharmaceutical e-commerce intelligent customer service: a stressor-strain-outcome perspective
by: Jing Jia, et al.
Published: (2025-02-01) -
Cognitive Load in eCommerce Applications—Measurement and Effects on User Satisfaction
by: Peter Schmutz, et al.
Published: (2009-01-01) -
An improved method of studying user-system interaction by combining transaction log analysis and protocol analysis
by: Jillian R. Griffiths, et al.
Published: (2002-01-01) -
EC-Structure: Establishing Consumption Structure through Mining E-Commerce Data to Discover Consumption Upgrade
by: Lin Guo, et al.
Published: (2019-01-01)