Analysis of User Access Behavior in Distance Education Website

DOI

10.2991/icmmcce-17.2017.203How to use a DOI?

Keywords

Data Analysis; Online Behavior Analysis; Diversion Indicator; Sticky Indicator; Website Optimization

Abstract

Based on the acquisition of a distance education website user access behavior data, the paper analyzed two diversion indicators, PV and UV, and several sticky indicators that reflect video on demand and live streaming browsing. By the data analysis, the paper found the change regulation of the PV, the hot time of the user access, the reason why user access evaluation results are optimal. The results shown that the website may focus on pushing some video resources during periods of high user access, and promptly give push tips.

Copyright

© 2017, 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  - Lei Chen
AU  - Zhufeng Qiao
PY  - 2017/09
DA  - 2017/09
TI  - Analysis of User Access Behavior in Distance Education Website
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 1141
EP  - 1146
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.203
DO  - 10.2991/icmmcce-17.2017.203
ID  - Chen2017/09
ER  -