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- W2000422468 abstract "Nowadays, mobile apps are used for nearly every situation: for planning the day, communicating with colleagues, ordering goods, or entertaining and socializing. To understand users expectations in each situation and to provide context-aware services, researchers and app vendors started to capture users' interaction with the smartphone and to model user's behavior. This paper reports on a behavioral study based on app usage data logged over one year and the corresponding apps descriptions from the app store. Using Topic Modeling and clustering techniques, we segmented the usage data into meaningful clusters that correspond to different states, in which users normally use their smartphone, e.g. socializing or consuming media. Researchers and app-vendors can use the insights from our work to improve their contextual recommendation techniques and the overall usage experience." @default.
- W2000422468 created "2016-06-24" @default.
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- W2000422468 date "2015-09-07" @default.
- W2000422468 modified "2023-10-16" @default.
- W2000422468 title "Understanding usage states on mobile devices" @default.
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- W2000422468 doi "https://doi.org/10.1145/2750858.2805837" @default.
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