@Article{jnm.2020.010088,
AUTHOR = {Wangdong Jiang, Dongling Zhang, Yapeng Peng, Guang Sun, Ying Cao, Jing Li},
TITLE = {User Behavior Path Analysis Based on Sales Data},
JOURNAL = {Journal of New Media},
VOLUME = {2},
YEAR = {2020},
NUMBER = {2},
PAGES = {79--90},
URL = {http://www.techscience.com/JNM/v2n2/39936},
ISSN = {2579-0129},
ABSTRACT = {With the rapid development of science and technology and the 
increasing popularity of the Internet, the number of network users is gradually 
expanding, and the behavior of network users is becoming more and more 
complex. Users’ actual demand for resources on the network application 
platform is closely related to their historical behavior records. Therefore, it is 
very important to analyze the user behavior path conversion rate. Therefore, this 
paper analyses and studies user behavior path based on sales data. Through 
analyzing the user quality of the website as well as the user’s repurchase rate, 
repurchase rate and retention rate in the website, we can get some user habits and 
use the data to guide the website optimization.},
DOI = {10.32604/jnm.2020.010088}
}