Learning video recommendation method, device and system

A video recommendation and video technology, applied in the field of data processing, can solve problems such as the inability of traffic resources to meet students' learning needs, affecting students' learning efficiency, and recommendation failures.

Pending Publication Date: 2021-01-15
北京爱论答科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In practice, it is found that most of the current online educational resources are usually sorted by the number of views so that students can view the flow resources more directly. However, based on the different needs of different students, the flow resources cannot satisfy some students. At the same time, it is easy to have the problem of insufficient receiving memory

Method used

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  • Learning video recommendation method, device and system
  • Learning video recommendation method, device and system
  • Learning video recommendation method, device and system

Examples

Experimental program
Comparison scheme
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Example Embodiment

[0056]Example 1

[0057]Please seefigure 1 ,figure 1 A schematic flowchart of a learning video recommendation method is provided in this embodiment of the application. Among them, the learning video recommendation method includes:

[0058]S101. Obtain learning content being output by the student, and acquire search keywords included in the learning content.

[0059]In the embodiment of the present application, the execution subject of the method may be a computing device such as a computer or a server, which is not limited in this embodiment.

[0060]In the embodiment of the present application, the student terminal may be a smart device such as a smart phone, a tablet computer, or a smart learning machine, which is not limited in this embodiment.

[0061]S102: Perform a search according to the search keyword and a preset inverted index to obtain video address information of the video to be recommended that matches the search keyword.

[0062]In the embodiment of the present application, before step ...

Example Embodiment

[0070]Example 2

[0071]Please seefigure 2 ,figure 2 It is a schematic flowchart of a learning video recommendation method provided in an embodiment of this application. Such asfigure 2 As shown, the learning video recommendation method includes:

[0072]S201. Acquire multiple learning videos and a mapping relationship between each learning video and a network address of the learning video.

[0073]S202: Perform voice recognition on the audio of each learning video to obtain voice keywords included in the audio of each learning video.

[0074]In the embodiment of the application, the learning video can be voice recognized through a preset artificial intelligence voice recognition model, and the learning video can be directly input into the artificial intelligence voice recognition model, and the voice keywords of the learning video can be obtained.

[0075]In the embodiment of this application, the voice keyword is text character information.

[0076]S203: Perform image recognition processing on the ...

Example Embodiment

[0131]Example 3

[0132]Please seeimage 3 ,image 3 This is a schematic structural diagram of a learning video recommendation device provided in an embodiment of this application. Such asimage 3 As shown, the learning video recommendation device includes:

[0133]The obtaining module 310 is used to obtain the learning content being output by the student terminal, and obtain the search keywords included in the learning content.

[0134]The search module 320 is configured to search according to the search keyword and the preset inverted index to obtain the video address information of the video to be recommended that matches the search keyword.

[0135]The sending module 330 is used to send the video address information to the student terminal, so that the student terminal obtains and outputs the video to be recommended according to the video address information.

[0136]In this embodiment of the application, for the explanation of the learning video recommendation device, reference may be made to th...

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Abstract

The embodiment of the invention provides a learning video recommendation method, device and system, and relates to the technical field of data processing, and the method comprises the steps: obtaininglearning contents outputted by a student end, and obtaining search keywords included in the learning contents; searching according to the search keyword and a preset inverted index to obtain video address information of the to-be-recommended video matched with the search keyword; and finally, sending the video address information to the student terminal, so that the student terminal obtains the to-be-recommended video according to the video address information and outputs the to-be-recommended video, thereby realizing rapid and accurate recommendation of the learning video, avoiding the problem of recommendation failure, and facilitating improvement of the learning efficiency of students.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular, to a learning video recommendation method, device and system. Background technique [0002] At present, more and more online educational resources appear on the Internet, giving many students more ways to learn. In practice, it is found that most of the current online educational resources are usually sorted by the number of views so that students can view the flow resources more directly. However, based on the different needs of different students, the flow resources cannot satisfy some students. At the same time, it is prone to problems such as insufficient memory for receiving students and long data transmission time due to the large size of recommended learning video files, and then failure of recommendation, which affects students' learning efficiency. It can be seen that the existing recommendation methods for learning videos are prone to the problem of...

Claims

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Application Information

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IPC IPC(8): G06F16/71G06F16/78
CPCG06F16/71G06F16/7867
Inventor 王枫马镇筠谢恩
Owner 北京爱论答科技有限公司
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