Analysis of Personalized E-Learning System on the Basis of Behavioral Data Mining

DOI

10.2991/wartia-16.2016.360How to use a DOI?

Keywords

E-learning, Personalized recommendation system, Behavioral data, Interest feature

Abstract

As the network has become an important platform for people to exchange information, online learning is becoming one of the human’s main channels for learning. In order to improve e-learning efficiency, the establishment of personalized recommendation system has becoming an urgent problem. At the same time, learner’s interest features are the basis of personalized recommendation system. The paper introduces the data mining technology which helps to analysis the behavioral data reflect the interest features. Then it puts forward the model for personalized recommendation system on the basis of interest feature.

Copyright

© 2016, 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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TY  - CONF
AU  - Duoduo Liu
AU  - Lihua Zhang
PY  - 2016/05
DA  - 2016/05
TI  - Analysis of Personalized E-Learning System on the Basis of Behavioral Data Mining
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1817
EP  - 1821
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.360
DO  - 10.2991/wartia-16.2016.360
ID  - Liu2016/05
ER  -