Analysis of the Correlation between User Behavior and User Engagement of Internet Video at Large-Scale

DOI

10.2991/jimet-15.2015.34How to use a DOI?

Keywords

user behavior, user engagement, k-means, big data, Internet video

Abstract

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.

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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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  -