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首页> 外文期刊>Circuits and Systems for Video Technology, IEEE Transactions on >Characterizing and Modeling User Behavior in a Large-Scale Mobile Live Streaming System
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Characterizing and Modeling User Behavior in a Large-Scale Mobile Live Streaming System

机译：在大型移动直播系统中表征和建模用户行为

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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.
机译：在移动实时流媒体系统中，由于来自移动设备的限制以及实时内容的事件驱动性质，用户与流对象的交互相当有限。约束条件可能导致独特的用户行为特征，尚待探索。本文调查了从PPTV实时流媒体系统收集的超过900万个访问日志，重点是当用户从移动和非移动终端访问实时流媒体目录时可能存在的差异。我们观察到移动用户放弃会话的可能性要高得多，并且从一天中的时间，频道内容和移动设备类型的角度检查废弃会话的结构。令人惊讶的是，我们发现高峰时段内的废弃率相对较低，并且移动设备类型（即Android或iOS）对废弃行为的影响显着。为了进一步捕获用户行为的内在特征，我们针对会话持续时间，用户活动以及用户到达/离开的时间动态开发了一系列模型。更重要的是，我们将模型参数与物理和现实意义联系起来。这些观察结果和模型为视频传输系统，电信内容传输网络和移动应用程序提供了启示。

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