Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

Application Research in E-Commerce Recommendation System of Web Mining Technology

Authors
Zhihong Wu, Qingjun Wang
Corresponding Author
Zhihong Wu
Available Online March 2014.
DOI
https://doi.org/10.2991/mce-14.2014.179How to use a DOI?
Keywords
informatization; data mining; directional recommendation; big data analysis; precise marketing
Abstract
Web Data Mining refers to the process of extracting the implicit and previously unknown information and knowledge with potential values from the huge, incomplete, unpurified, unclear and random practical and applicable data on the Internet. From the business sense, Web data mining is a new technology of processing business information based on the Internet and the extraction, transformation, analysis and other modeling processes of huge business data from the commercial database on the Internet so as to extract the key data of auxiliary business decisions. Through the application of the Web data mining technology, browsing habits and buying preferences of a large number of users can be analyzed, thus precise marketing like directional recommendation can be carried, and this is the so-called e-commerce recommendation system.
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Proceedings
2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-62520-31-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mce-14.2014.179How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhihong Wu
AU  - Qingjun Wang
PY  - 2014/03
DA  - 2014/03
TI  - Application Research in E-Commerce Recommendation System of Web Mining Technology
BT  - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
PB  - Atlantis Press
SP  - 796
EP  - 799
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.179
DO  - https://doi.org/10.2991/mce-14.2014.179
ID  - Wu2014/03
ER  -