May 20, 2016 · In this paper, we propose a novel approach to make efficient demographic prediction based on smartphone application usage. Specifically, we ...
[PDF] Demographic Information Prediction: A Portrait of Smartphone ...
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Abstract—Demographic information is usually treated as private data (e.g., gender and age), but has been shown great values in.
In this paper, we propose a novel approach to make efficient demographic prediction based on smartphone application usage. Specifically, we firstly consider to ...
In this paper, we propose a novel approach to make efficient demographic prediction based on smartphone application usage. Specifically, we firstly consider to ...
In this paper, we propose a novel approach to make efficient demographic prediction based on smartphone application usage. Specifically, we firstly consider to ...
In this paper, we first describe application information for user profiling. Second, we analyze what types of user information can be profiled from smartphone ...
In this paper, we predict users' gender and income level on a large-scale dataset of app usage records from 10,000 Android users. More specifically, we first ...
The most predictable attribute is gender (82.3 % accuracy), whereas the hardest to predict is income (60.3 % accuracy). (2) We compare several dimensionality ...
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This paper predicts users' gender and income level on a large-scale dataset of app usage records from 10,000 Android users and extracts features from app ...