Application prediction method, application preloading method, and application preloading apparatus based on application usage timing
Abstract:
Provided are an application prediction method, an application preloading method and an application preloading apparatus. The application prediction method includes: obtaining a user behavior sample in a preset time period, where the user behavior sample includes an association record of usage timing of at least two applications determined from two or more applications on a terminal including a usage record of the at least two application and a usage timing relationship of the at least two applications; and training a preset prediction model according to the association record of usage timing to generate an application prediction model, thereby may take full advantage of the association record of usage timing of the applications which may truly reflect the user behavior, optimize the application preloading mechanism, improve the accuracy of the prediction of the application to be started effectively, and further reduce power consumption of the terminal system and the memory usage.
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