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Research on the personalised QoE evaluation method for HTTP mobile streaming

机译：HTTP移动流个性化QoE评估方法研究

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摘要

The demand of HTTP mobile streaming services over mobile networks has been increasing drastically in recent years. QoE evaluation and optimisation technologies play a crucial role for the operators in the competitive market. However, due to the complexity and diversity of user behaviour, only the factors in the network and application layers are considered in most of the current QoE evaluation methods. In this paper, we focus on personalised QoE evaluation method based on user behaviours for HTTP mobile streaming services. We propose a QoE evaluation method based on feedbacks sent from the users on purpose. Then we propose a method based on users' unconscious feedbacks, for example, the number of users operations during their viewing session. The evaluated QoE by proposed methods is much closer to the users' actual feelings than traditional methods, which verifies the optimality of our proposed scheme.
机译：近年来，移动网络对HTTP移动流服务的需求已急剧增加。 QoE评估和优化技术对运营商在竞争激烈的市场中起着至关重要的作用。但是，由于用户行为的复杂性和多样性，在大多数当前的QoE评估方法中仅考虑网络和应用程序层中的因素。在本文中，我们专注于针对HTTP移动流服务的基于用户行为的个性化QoE评估方法。我们基于用户有意发送的反馈提出了一种QoE评估方法。然后，我们提出了一种基于用户无意识反馈的方法，例如，用户在观看会话期间的操作次数。与传统方法相比，所提出的方法对QoE的评估更接近用户的实际感受，这证明了我们提出的方案的最优性。

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  • 作者

    Wenan Zhou; Yajun Huang; Shipeng Yu; Liyan You; Yu Du;

  • 作者单位

    School of Computer Science, Beijing University of Posts and Telecommunications, 100876, Beijing, China;

    School of Computer Science, Beijing University of Posts and Telecommunications, 100876, Beijing, China;

    School of Computer Science, Beijing University of Posts and Telecommunications, 100876, Beijing, China;

    School of Computer Science, Beijing University of Posts and Telecommunications, 100876, Beijing, China;

    School of Computer Science, Beijing University of Posts and Telecommunications, 100876, Beijing, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    HTTP mobile streaming; user behaviour; personalised QoE;

    机译：HTTP移动流;用户行为;个性化QoE;

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