Analysis of the Correlation between User Behavior and User Engagement of Internet Video at Large-Scale
- 10.2991/jimet-15.2015.34How to use a DOI?
- user behavior, user engagement, k-means, big data, Internet video
As the development of the video over the Internet becomes rapidly and the user scale becomes continuously extend, user expectations and requirements for high quality of service are constantly increasing, which makes service providers focus on the quality of user experience (QoE). And how to assess QoE accurately and effectively become the first problem to solve. Considering that there are many factors affect QoE, this paper studies the correlation between user behavior and QoE. In this paper, by use the method of statistical analysis and data mining, we make a research on user logs of large scale in Internet video based on a data set captured from one of the largest video operators of China. We measure behavior metrics such as forward, replay, pause, full screen, and we use user engagement to quantify QoE at a per view level. The study shows that user behavior can reflect QoE, especially the number of fast forward and replay are significantly associated with QoE. Finally, this paper uses k-means clustering algorithm to divide users into three groups with different behavior patterns according to user behavior, which indicator that user with different behavior patterns have different engagement. And we also find that when the session include more than 10 times of fast-forward, the engagement in the session will decline.
- © 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 - Yawei He AU - Wenhui Zhang AU - Weili Si AU - Anming Wei PY - 2015/12 DA - 2015/12 TI - Analysis of the Correlation between User Behavior and User Engagement of Internet Video at Large-Scale BT - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference PB - Atlantis Press SP - 186 EP - 192 SN - 2352-538X UR - https://doi.org/10.2991/jimet-15.2015.34 DO - 10.2991/jimet-15.2015.34 ID - He2015/12 ER -