融合AI模型在移网用户满意度预测中的应用研究

Research on Application of Fusion AI Model in Prediction of Mobile Users’ Satisfaction

移动网络用户的满意度是运营商经营质量水平的一个重要评价标准,高水平的用户满意度评分是提升存量用户忠诚度的重要保障。基于O域信令数据、B域用户基础数据、用户感知数据、用户投诉数据及满意度打分数据等进行大数据分析,深入研究各个打分段用户的特征,结合人工智能算法搭建AI模型,精准预测全网用户的满意度。

The mobile users’ satisfaction is an important evaluation criterion for telecom operators’ operational quality. A high score is an important guarantee for maintaining the loyalty of existing users. It conducts big data analysis based on O domain signaling data,B domain user basic data,user perception data,user complaint data,and satisfaction rating data,deeply studies the characteristics of each segmented users,builds an AI model combined with artificial intelligence algorithm to accurately predict the users’ satisfaction of the network.