Analysis of User Access Behavior in Distance Education Website
Authors
Lei Chen, Zhufeng Qiao
Corresponding Author
Lei Chen
Available Online September 2017.
- 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/).
Cite this article
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 -