Cohort Modeling Based App Category Usage Prediction

UMAP '20: 28th ACM Conference on User Modeling, Adaptation and Personalization Genoa Italy July, 2020, pp. 248-256, 2020.

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Abstract:

Smartphones utilize context signals, such as time and location, to predict users' app usage tailored to individual users. To be effective, such personalization relies on access to sufficient information about each user's behavioral habits. For new users, the behavior information may be sparse or non-existent. To handle these cases, app ca...More

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