Characterizing and Modeling User Behavior in a Large-Scale Mobile Live Streaming System

doi:10.1109/TCSVT.2016.2595325

	Characterizing and Modeling User Behavior in a Large-Scale Mobile Live Streaming System
	Li, Zhenyu 1; Kaafar, Mohamed Ali 2; Salamatian, Kave 3; Xie, Gaogang 1
	2017-12-01
发表期刊	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
ISSN	1051-8215
卷号	27 期号:12 页码:2675-2686
摘要	In mobile live streaming systems, users have fairly limited interactions with streaming objects due to the constraints coming from mobile devices and the event-driven nature of live content. The constraints could lead to unique user behavior characteristics, which have yet to be explored. This paper investigates over 9 million access logs collected from the PPTV live streaming system, with an emphasis on the discrepancies that might exist when users access the live streaming catalog from mobile and nonmobile terminals. We observe a much higher likelihood of abandoning sessions by mobile users and examine the structure of abandoned sessions from the perspectives of time of day, channel content, and mobile device types. Surprisingly, we find relatively low abandonment rates during peak-load time periods and a notable impact of mobile device type (i.e., Android or iOS) on the abandonment behavior. To further capture the intrinsic characteristics of user behavior, we develop a series of models for session duration, user activity, and time dynamics of user arrivals/departures. More importantly, we relate the model parameters to physical and real-life meanings. The observations and models shed light on a video delivery system, telco-content delivery networks, and mobile applications.
关键词	Analysis mobile live streaming modeling user behavior
DOI	10.1109/TCSVT.2016.2595325
收录类别	SCI
语种	英语
资助项目	National Basic Research Program of China[2012CB315801] ; National Natural Science Foundation of China[61272473] ; National Natural Science Foundation of China[61572475] ; National Natural Science Foundation of China[61502460] ; National High-Tech R&D Program of China[2015AA010201]
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000418329000015
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/5555
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Li, Zhenyu
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.CSRIO Data61, Eveleigh, NSW 2015, Australia 3.Univ Savoie, F-73000 Chambery, France
推荐引用方式 GB/T 7714	Li, Zhenyu,Kaafar, Mohamed Ali,Salamatian, Kave,et al. Characterizing and Modeling User Behavior in a Large-Scale Mobile Live Streaming System[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2017,27(12):2675-2686.
APA	Li, Zhenyu,Kaafar, Mohamed Ali,Salamatian, Kave,&Xie, Gaogang.(2017).Characterizing and Modeling User Behavior in a Large-Scale Mobile Live Streaming System.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,27(12),2675-2686.
MLA	Li, Zhenyu,et al."Characterizing and Modeling User Behavior in a Large-Scale Mobile Live Streaming System".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 27.12(2017):2675-2686.