Proceedings of the 3d International Conference on Applied Social Science Research

Application and Research of E-commerce Recommendation System Based on Web Mining

Authors
Xu Yan, Bo Sun
Corresponding Author
Xu Yan
Available Online August 2016.
DOI
https://doi.org/10.2991/icassr-15.2016.149How to use a DOI?
Keywords
e-commerce, web mining, recommendation system, problems and development
Abstract
As a new branch of data mining,web mining emerge as social requires, it belongs to a new research direction. Web mining is to find potential useful model and hidden information from web documents. It combines the use of web and traditional data mining. The use of web mining in the e-commerce recommendation system can meet the demands of future development of e-commerce. This paper analyzes the background of the use of web mining in e-commerce recommendation system,and establishes a recommendation-system model based on veracity and efficiency.It also describes each module in the model exactly and how they connect with each other, and has a deep research on several important recommendation algorithms; At last it raises the problems and directions of the e-commerce recommendation technology.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3d International Conference on Applied Social Science Research (ICASSR 2015)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2016
ISBN
978-94-6252-148-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/icassr-15.2016.149How 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  - Xu Yan
AU  - Bo Sun
PY  - 2016/08
DA  - 2016/08
TI  - Application and Research of E-commerce Recommendation System Based on Web Mining
BT  - 3d International Conference on Applied Social Science Research (ICASSR 2015)
PB  - Atlantis Press
SP  - 531
EP  - 534
SN  - 1951-6851
UR  - https://doi.org/10.2991/icassr-15.2016.149
DO  - https://doi.org/10.2991/icassr-15.2016.149
ID  - Yan2016/08
ER  -