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

Abstract : Abstract: In mobile live streaming systems, user are fairly limited in interaction with the streaming objects due to the constraints coming from mobile devices and 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 non-mobile 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 video delivery system, telco-CDNs and mobile applications.
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IEEE Transactions on Circuits and Systems for Video Technology, Institute of Electrical and Electronics Engineers, 2016, <10.1109/TCSVT.2016.2595325>
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Contributeur : Salamatian Kavé <>
Soumis le : samedi 8 octobre 2016 - 11:04:29
Dernière modification le : samedi 15 octobre 2016 - 01:03:37

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Zhenyu Li, Mohamed Ali Kaafar, Kavé Salamatian, Gaogang Xie. Characterizing and Modeling User Behavior in a Large-scale Mobile Live Streaming System . IEEE Transactions on Circuits and Systems for Video Technology, Institute of Electrical and Electronics Engineers, 2016, <10.1109/TCSVT.2016.2595325>. <hal-01377982>

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