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Application program prediction model establishment, preloading method, device, medium and terminal

An application and predictive model technology, applied in the field of machine learning, can solve problems such as occupying memory, affecting terminal fluency, and increasing power consumption.

Active Publication Date: 2021-03-12
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the application cannot be preloaded at will, because if too many resources are preloaded, it will occupy too much memory, and at the same time, the power consumption will increase, which will seriously affect the smoothness of terminal use.

Method used

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  • Application program prediction model establishment, preloading method, device, medium and terminal
  • Application program prediction model establishment, preloading method, device, medium and terminal
  • Application program prediction model establishment, preloading method, device, medium and terminal

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Embodiment Construction

[0036] The technical solution of the present application will be further described below in conjunction with the accompanying drawings and through specific implementation methods. It should be understood that the specific embodiments described here are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only some structures related to the present application are shown in the drawings but not all structures.

[0037] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the steps as sequential processing, many of the steps may be performed in parallel, concurrently, or simultaneously. Additionally, the order of steps may be rearranged. The process may be terminated when its operations are complete, but may also hav...

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Abstract

The embodiment of the present application discloses a method, device, medium and terminal for establishing and preloading an application program prediction model. The application program prediction model establishment method includes: obtaining user behavior samples within a preset time period, wherein the user behavior samples include at least two application program use time-series correlation records; extracting the terminal state information corresponding to the application program use time-series correlation records ;According to the use of time-series association records and state information, train the set prediction model to generate the application program prediction model. By adopting the above-mentioned technical solution, the embodiments of the present application can make full use of the time-series correlation records of application programs that can truly reflect user behaviors and the corresponding terminal status information, optimize the application program preloading mechanism, and effectively improve the prediction accuracy of the application programs to be launched. accuracy, further reducing end system power consumption and memory usage.

Description

technical field [0001] The embodiments of the present application relate to the technical field of machine learning, and in particular, relate to application program prediction model building, preloading methods, devices, media, and terminals. Background technique [0002] With the rapid development of electronic technology and the improvement of people's living standards, terminals such as smart phones and tablet computers have become an indispensable part of people's lives. [0003] Various applications (Application Software, APP) are set on the terminal. In order to make the application run more smoothly, the terminal usually prepares the loading resources of some applications in advance, that is, advances the loading resources of some applications. to preload. [0004] However, the application cannot be preloaded at will, because if too many resources are preloaded, too much memory will be occupied, and the power consumption will increase, which will seriously affect th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/445G06N20/00
CPCG06N20/00G06F9/44521G06F9/445G06F9/4451G06F7/08G06N5/04
Inventor 陈岩
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD