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Knowledge base recommendation system based on content labels

A recommendation system and knowledge base technology, applied in character and pattern recognition, text database clustering/classification, instruments, etc., can solve problems such as difficulty in ensuring the accuracy of content labels

Pending Publication Date: 2021-05-11
辽宁向日葵教育科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, knowledge points are often intersected, and it is difficult to accurately determine which label the knowledge points in the cross state belong to by using the knowledge graph method. Therefore, the accuracy of the content labels obtained by this method is difficult to guarantee.

Method used

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  • Knowledge base recommendation system based on content labels
  • Knowledge base recommendation system based on content labels
  • Knowledge base recommendation system based on content labels

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] see figure 1 , figure 1 It is a schematic flowchart of a knowledge base recommendation system based on content tags disclosed in the embodiment of this application. like figure 1 As shown, the first aspect of the present application provides a knowledge base recommendation system based on content tags, the system includes an acquisition module, a content tag formulation module, and a push module;

[0037] The obtaining module is used to obtain the learner's learning history record, which includes learner identity information, learning resource retrieval records, and test scores, and transmits it to the content label formulation module;

[0038] The content label formulation module is used to draw content labels of knowledge points based on the learning history of the learner, and transmit the content labels to the push module;

[0039] The push module is configured to match the corresponding learning resources based on the learner's learning history and the content t...

Embodiment 2

[0062] see figure 2 , figure 2 It is a schematic structural diagram of an online education platform disclosed in the embodiment of this application. like figure 2 As shown, the third aspect of the present application provides an online education platform, and the online education platform includes the knowledge base recommendation system based on content tags as described in the first embodiment.

Embodiment 3

[0064] see image 3 , image 3 It is an electronic device disclosed in the embodiment of the present application, the electronic device is applied to the online education platform, and the electronic device includes the knowledge base recommendation system based on content tags as described in the first embodiment.

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Abstract

According to the technical scheme provided by the invention, the content label is matched with the corresponding knowledge based on the learning resource retrieval record of the learner and the score level of the learner. According to the scheme, the processing complexity that a knowledge graph algorithm needs to carry out earlier-stage processing on knowledge points of hundreds of millions is avoided, and the drawn labels can better meet the actual use experience of learners.

Description

technical field [0001] This application relates to the field of intelligent teaching, in particular, to a knowledge base recommendation system based on content tags. Background technique [0002] The continuous development of blended learning provides education with a combination of online and offline learning methods. With the expansion of online learning platform business, the capacity of its knowledge base is getting bigger and bigger. However, with the increase of data volume, how to provide learners with suitable learning content is the challenge that all online learning platforms are facing. [0003] The current online learning platform handles this problem by using knowledge graphs to classify and profile the content in the knowledge base, that is, to achieve classification by directly labeling learning resources, so as to facilitate subsequent learner-based learning. Demand to push the learning resources corresponding to the matching tags. However, knowledge points...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06K9/62G06Q50/20
CPCG06F16/35G06Q50/2057G06F18/23213
Inventor 赵迪李宏伟李广胜李艳飞张丰王诗晓王国庆杨栋李强朱鹏飞宋博
Owner 辽宁向日葵教育科技有限公司
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