【摘要】 在用户感知反馈计算的过程中,传统的反馈算法在多层次用户感知不一致的情况下,数据的差异会使得感知结果产生分类摇摆,导致感知反馈结果不准.为解决这一问题,提出一种基于差异化数据集分层融合的用户感知反馈算法,通过QOE-KQI-KPI三层体系模型获取用户感知反馈结果并且进行分类,计算多层系统感知反馈聚类加权的均值,设定每个层次反馈的加权平均值,消除多层数据的差异性,解决由于数据差异过大带来的感知计算不准的问题.实验证明,这种方法能够有效融合多层用户感知结果,取得了满意的结果.更多还原

【Abstract】 In the user perceived feedback calculation process,the traditional feedback algorithm in multi-level user perception inconsistent cases,the difference of data will make sense the result classification swing,leading to perception feedback results are not allowed.In order to solve this problem,this paper puts forward a data set based on differentiation layered fusion user perception feedback algorithm,through the QOE-KQI-KPI three layer system model for users’ perception feedback results and classification,calculation multilayer system perception feedback clustering weighted average,set each level of feedback weighted average,eliminate multiple data differences,solve the data difference too big to bring the perception of the problem of calculation is not allowed.Experiments show that the method can effectively fusion multiple users’ perception results,and satisfactory results were obtained.更多还原