面向个性化通讯云的移动互联用户大数据可信服务推荐算法

Trusted Service Recommended Algorithm on User Big Data Based on Mobile Internet with Individuation Communication Cloud Orientation

为提高基于移动互联用户大数据服务的通讯云可信服务效率,为通讯云用户提供个性化的服务,首先对个性化通讯云、移动互联用户大数据信任服务进行定义;其次提出面向个性化通讯云的移动互联用户大数据可信服务算法,改进相关算法,并基于此设计推荐算法和模型;最后实施实证应用,分析改进算法及模型性能,并与传统模型综合对比.实证分析结果表明,该模型相比传统模型具有更高的精确度和鲁棒性,因此该模型具有一定的应用价值.

The algorithm recommended in this paper provides the communication cloud users with individuation services in order to boost the trusted service efficiency of communication cloud based on the mobile internet user big data services. Firstly, it is defined for personalized communication cloud and trusted services of mobile internet user big data. Secondly, a trusted service algorithm on user big data of mobile internet with personalized communication cloud orientation is raised in order to improve corresponding algorithms and design the recommended algorithms and models. Finally, the empirical application to this algorithm and mode are implemented, performance of improved algorithms and the model are analyzed through the comprehensive contrast with traditional models. The empirical analysis results demonstrate that the proposed algorithm and mode have higher accuracy and robustness than traditional models. Therefore, the proposed model has certain application value.