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Method for Cleaning Up Background Application, Storage Medium, and Electronic Device

机译:清理后台应用的方法,存储介质和电子设备

摘要

A method for cleaning up a background application, a storage medium, and an electronic device are provided. The method includes the following. Collect multi-dimensional feature information associated with an application as samples to construct a sample set associated with the application. Extract feature information from the sample set to construct multiple training sets. Train each training set to generate a corresponding decision tree. Predict, with multiple decision trees generated, current feature information associated with the application and output multiple predicted results when the application is switched to the background, where the predicted results include predicted results indicative of that the application is able to be cleaned up and predicted results indicative of that the application is unable to be cleaned up. Determine whether the application is able to be cleaned up according to the multiple predicted results. Clean up the application when the application can be cleaned up.
机译:提供了一种清理后台应用程序的方法,一种存储介质和一种电子设备。该方法包括以下内容。收集与应用程序关联的多维特征信息作为样本,以构建与应用程序关联的样本集。从样本集中提取特征信息以构建多个训练集。训练每个训练集以生成相应的决策树。使用生成的多个决策树来预测与该应用程序关联的当前特征信息,并在将应用程序切换到后台时输出多个预测结果,其中,预测结果包括指示该应用程序能够被清理的预测结果和预测结果指示无法清除应用程序。根据多个预测结果确定是否可以清除应用程序。可以清理应用程序时清理应用程序。

著录项

  • 公开/公告号US2020219016A1

    专利类型

  • 公开/公告日2020-07-09

    原文格式PDF

  • 申请/专利号US202016819777

  • 发明设计人 YUANQING ZENG;

    申请日2020-03-16

  • 分类号G06N20/20;G06N5;G06N5/04;G06F9/445;

  • 国家 US

  • 入库时间 2022-08-21 11:20:08

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