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针对现有云媒体服务选择算法服务质量(QoS)不高和用户满意度低的问题,提出了一种基于QoS预测机制的个性化云媒体服务选择算法.首先,建立信任度模型,并将其引入用户相似度的计算来优化近邻用户,再利用协同过滤方法计算未知服务的QoS值,选出QoS较高的候选服务;其次,利用逼近理想解排序方法,选择并提供给用户符合其偏好的云媒体服务,进而提高用户满意度.仿真实例说明了该算法的有效性.
Aiming at the problem of low quality of service (QoS) and low user satisfaction in the existing cloud media service selection algorithm, a personalized cloud media service selection algorithm based on QoS prediction mechanism is proposed.Firstly, a trust model is established and its The user similarity is introduced to optimize the neighboring users, then the collaborative filtering method is used to calculate the QoS of unknown services and the candidate service with higher QoS is selected. Secondly, the approximate ideal solution method is used to select and provide the users with their preference Cloud media service to improve user satisfaction.The simulation example shows the effectiveness of the algorithm.