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With the rapid development of information technology and the establishment of “human-oriented” new type communication fashion, future multimedia service emphasizes not only speed, bandwidth, quality of service sources, but also user feeling and satisfaction. Therefore, for multimedia content providers and network operators, promoting users’ feeling or even their viscosity is very important in the context of multimedia service explosion and heavy competition. In other words, only by continuously improving the recognition and viscosity of users, positioning network services and operational activities into the most valuable user groups, service providers and network operators can achieve the optimization of resource allocation and continuous growth of industry revenue in the fierce competition. Traditional time-consuming and power-intensive user scoring methods can no longer satisfy the multimedia content provider and network operator’s evaluation of user satisfaction. Instead, multimedia users’ quality of experience (QoE) is evaluated by using the collected big data. Therefore, how to objectively and effectively evaluate multimedia user QoE by considering various influencing factors has become a hot and difficult topic in current research.
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