User Profile in Smart Elderly Care Community: Findings from Community in Western China

Abstract

With the increase in the aging population, the need for elderly care services has diversified, and smart elderly care has become an effective measure to cope with this increasing aging population. Based on the data from the platform “Guan Hu Tong” of RQ Company in the community of Shaanxi Province in western China, this study mined the data of smart elderly care services through the recency, frequency and monetary value (RFM) model and the backpropagation (BP) neural network model, constructed the user profile of the elderly, and predicted users’ practical demands. The following conclusions were drawn: The oldest users are important target users of smart elderly care service platforms; Elderly women living alone rely more on smart elderly care services; Meal delivery and health follow-up services are the most popular among elderly users.

Keywords

smart elderly care / user profile / backpropagation (BP) neural network