A machine learning based military information system user profiling technology is proposed to address the issue of unclear software usage and habits among military information system users,combined with the working characterist-ics of naval information system users.This technology is based on a large amount of historical data of naval information sys-tem users,and uses machine learning technology to construct user software usage tags and dynamic tags for user webpage at-tention,which can more clearly describe the characteristics and usage habits of naval information system users and provide beneficial support for the iteration and improvement of naval information system requirements.The simulation results show that the proposed method can effectively support the application requirements of military information systems.
关键词
机器学习/海军军事信息系统/用户画像/数据标签/大数据
Key words
machine learning/navy military information system/user portrait/data label/big data
维普
万方数据