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Task management system, method and device

A task management and task scheduling technology, applied in the computer field, can solve problems such as low task management efficiency

Active Publication Date: 2018-11-02
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The whole process requires manual participation, resulting in low efficiency of task management

Method used

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  • Task management system, method and device
  • Task management system, method and device
  • Task management system, method and device

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Embodiment Construction

[0026] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0027] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0028] figure 1 An exemplary system architecture 100 of a task management system according to an embodiment of the present application is shown.

[0029] Such as figure 1As shown, the system architecture 100 may include a first client 1011, a second client 1012, networks 1...

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Abstract

The invention discloses a task management system, method and device. One specific embodiment of the system comprises a training task management server which is used for receiving to-be-trained model information and sending the to-be-trained model information to a training task storage server; the training task storage server which is used for determining a training task allocation server from a training task scheduling server cluster; the training task allocation server which is used for determining a training task performing server from the training task scheduling server cluster; the training task performing server which is used for obtaining sample data corresponding to the to-be-trained model information, carrying out training based on the sample data through utilization of a deep learning algorithm, thereby obtaining a prediction model, and sending the prediction model to a model data storage server; and a prediction task performing server which is used for obtaining the prediction model and importing to-be-predicted task information into the prediction model for prediction, thereby obtaining a prediction result corresponding to the to-be-predicted task information. Accordingto the embodiment, the task management efficiency is improved.

Description

technical field [0001] The present application relates to the field of computer technology, specifically to the field of Internet technology, especially to a task management system, method and device. Background technique [0002] Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the nature of intelligence and produce a new class of intelligent machines that respond in ways similar to human intelligence. [0003] Artificial intelligence, especially deep learning, is currently a very cutting-edge research direction. Since deep learning can form more abstract high-level representation attribute categories or features by combining low-level features, it has been widely used in machine transla...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N99/00
Inventor 李葆仓
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD