DocumentCode
3732047
Title
E-Commerce Personalized Recommendation System Based on Web Mining Technology Design and Implementation
Author
Sun Lin;Xu Wenzheng
Author_Institution
Dept. of Inf. Sci. &
fYear
2015
Firstpage
347
Lastpage
350
Abstract
The current e-commerce site users are rapidly increasing, through the realization of the personalized recommendation service to help users convenient and efficient shopping process, become each big e-commerce site, effective way to improve service efficiency. Personalized recommendation system based on Web data mining technology good achieved this goal, and shows the Web mining technology the use of the advantages in the field of electronic commerce. This paper mainly expounds the e-commerce personalized recommence system design process and implementation process.
Keywords
"Transportation","Big data","Smart cities"
Publisher
ieee
Conference_Titel
Intelligent Transportation, Big Data and Smart City (ICITBS), 2015 International Conference on
Type
conf
DOI
10.1109/ICITBS.2015.93
Filename
7384039
Link To Document