Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications

A Web Mining Based Network Personalized Learning System

Authors
Hua Pang, Jian Yu, Long Wang
Corresponding Author
Hua Pang
Available Online November 2015.
DOI
https://doi.org/10.2991/icmmita-15.2015.163How to use a DOI?
Keywords
Network Learning; Personalized Service; Web Usage Mining; Web Content Mining
Abstract

In order to solve the problems of the traditional network learning system, a network personalized learning system based on web mining is presented in this paper. The web mining technology is simply introduced. The system model is given and the work process of this model is depicted in detail. For improve the intelligence or the system, the personalized information extraction method based on web usage mining and the learning resources recommendation method based on web content mining was proposed. Experiments on the real world dataset show that the system meets the student's demands of personalized learning.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-120-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-15.2015.163How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hua Pang
AU  - Jian Yu
AU  - Long Wang
PY  - 2015/11
DA  - 2015/11
TI  - A Web Mining Based Network Personalized Learning System
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 884
EP  - 889
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.163
DO  - https://doi.org/10.2991/icmmita-15.2015.163
ID  - Pang2015/11
ER  -