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- W3161595990 abstract "Modern mobile devices can provide a continuous data stream that allows one to construct a mobile user profile. Such a profile can be utilized for a variety of user services, such as to personalize customer services and mobile applications and to build passive authentication on mobile devices. In this chapter, we focus on how to predict users’ demographics, including gender, marital status and age, based on user interests, which is semantically extracted from Web data rather than other mobile data. The neural network approach based on user interest captured by additive regularization of topic models is the best candidate for demographic prediction. The growth in the number of sensors found in modern smartphones enables one to create robust methods of passive authentication. This chapter contains a brief introduction to the development of such methods. Subsequently, we discuss architecture and implementation features of a system that allows one to collect mobile user data for analysis and developing behaviour-based profiles of mobile users." @default.
- W3161595990 created "2021-05-24" @default.
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- W3161595990 date "2021-01-01" @default.
- W3161595990 modified "2023-09-23" @default.
- W3161595990 title "Mobile User Profiling" @default.
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- W3161595990 doi "https://doi.org/10.1007/978-3-030-66741-2_10" @default.
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