Application program prediction model establishing and pre-loading method and device, medium and terminal

An application program 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

Inactive Publication Date: 2019-05-28
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0004] However, the application cannot be preloaded at will, because if too many resources are preloaded, it will occupy too ...

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  • Application program prediction model establishing and pre-loading method and device, medium and terminal
  • Application program prediction model establishing and pre-loading method and device, medium and terminal
  • Application program prediction model establishing and pre-loading method and device, medium and terminal

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Embodiment Construction

[0037] The technical solutions of the present invention 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 invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, only some structures related to the present invention are shown in the drawings but not all structures.

[0038] 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 have addit...

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Abstract

The embodiment of the invention discloses an application program prediction model establishment method and device, an application program pre-loading method and device, a medium and a terminal. The application program prediction model establishing method comprises the following steps: obtaining a user behavior sample in a preset time period, wherein the user behavior sample comprises use time sequence association records of at least two application programs, grouping the use time sequence association records to obtain multiple groups of use time sequence association records, and training a preset SRU neural network model according to the multiple groups of use time sequence association records to generate an application program prediction model. According to the embodiment of the invention, the technical scheme is adopted; the application program use time sequence association record capable of truly reflecting the user behavior can be fully utilized; the application program pre-loadingmechanism is optimized, the accuracy of predicting the application program to be started is improved, on the premise that the training precision of the application program prediction model is guaranteed, the processing speed of training generation of the application program prediction model is greatly increased, and the time cost is saved.

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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IPC IPC(8): G06F9/445G06N3/08
CPCG06F9/44521G06N3/044G06N3/047G06F9/44505G06N3/08H04L41/142
Inventor 陈岩
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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