Usage profiling from mobile applications: A case study of online activity for Australian primary schools

Knowledge-Based Systems(2020)

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摘要
Last decade has witnessed a drastically increasing development of smart devices, while related mobile applications have emerged significantly in people’s daily life. As such, understanding the pattern of mobile application usage and related online behavior is of great importance for a variety of purposes, such as application engineering, resource optimization, and marketing. Existing research of online usage discovery includes surveys from end-users, application provider-related analysis, and usage log mining. These works, however, suffer from some limitations, such as lacking of user socio-economics background, insufficient coverage and sample bias, etc.
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关键词
User online behavior,Mobile applications,Alternating least squares,Smooth Gaussian mixture model
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