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Machine learning method and system based on mobile office, and terminal device

A machine learning and mobile office technology, applied in transmission systems, office automation, electrical components, etc., can solve the problems of not meeting the needs of users' advanced functions and inconvenient use, so as to improve flexibility and efficiency and meet the requirements of real-time operation Effect

Inactive Publication Date: 2016-12-14
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, most mobile devices only have the most basic office functions such as sending and receiving emails and meeting reminders, and cannot meet users' needs for advanced functions. For example, machine learning platform technology can only be logged in through a browser, and most users need to operate on the computer. For mobile devices, you need to log in to the web interface in the browser that comes with the mobile device, which is inconvenient to use

Method used

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  • Machine learning method and system based on mobile office, and terminal device
  • Machine learning method and system based on mobile office, and terminal device
  • Machine learning method and system based on mobile office, and terminal device

Examples

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Embodiment Construction

[0024] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are intended to explain the present application, and should not be construed as limiting the present application.

[0025] The following describes the mobile office-based machine learning method, terminal device, and system according to the embodiments of the present application with reference to the accompanying drawings.

[0026] figure 1 It is a flowchart of a mobile office-based machine learning method according to an embodiment of the present application.

[0027] Such as figure 1 As shown, the mobile office-based machine learning method includes:

[0028] In step 101, the pre-associated authority management system is used to dete...

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Abstract

The invention provides a machine learning method and system based on mobile office, and a terminal device. The method comprises the steps of detecting a user identity of a to-be-logged mobile office application through a pre-associated permission management system, and allowing a user to log in if the user identity is legal; obtaining a task type and corresponding configuration information selected by the user through a touch screen drag assembly task function in the mobile office application; sending a machine learning task comprising the task type and the corresponding configuration information to a server, thereby enabling the server to send the task type and the corresponding configuration information to a machine learning training cluster for training. According to the method, the system and the terminal device, the machine learning related office task is finished through the mobile office application, the mobile office flexibility and efficiency are improved, and the demand of the user for carrying out real-time operations on the machine learning related office task is satisfied.

Description

technical field [0001] The present application relates to the technical field of mobile terminals, and in particular to a mobile office-based machine learning method, terminal equipment and system. Background technique [0002] With the continuous development of mobile devices and the continuous improvement of Internet technology, users can work anytime, anywhere without having to work in a company environment. Therefore, mobile office has gradually become an important way of working. [0003] However, most mobile devices only have the most basic office functions such as sending and receiving emails and meeting reminders, and cannot meet users' needs for advanced functions. For example, machine learning platform technology can only be logged in through a browser, and most users need to operate on the computer. For mobile devices, you need to log in to the web interface in the browser that comes with the mobile device, which is inconvenient to use. Contents of the invention...

Claims

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Application Information

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IPC IPC(8): H04L29/06H04L29/08G06Q10/10
CPCH04L63/08G06Q10/10H04L67/60
Inventor 田植良
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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