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Abstract ▼ AI-Helper

In this paper, we propose a system to recommend context-aware category for applications in smartphone by context inference. Because smartphones equipped with a rich set of embedded sensors such as accelerometer, GPS, and microphone afford to infer appropriate contexts, it recommends context-aware Ap...

In this paper, we propose a system to recommend context-aware category for applications in smartphone by context inference. Because smartphones equipped with a rich set of embedded sensors such as accelerometer, GPS, and microphone afford to infer appropriate contexts, it recommends context-aware App category using Bayesian network with the smartphone sensor data. To show the usefulness of the proposed system, we have tested with precision, recall and F1 measures. The experimental results with five subjects in the 20th for 30 cases out of 430 contexts confirm that the proposed system is useful for recommending App category appropriate to users.

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