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Big data user demand analysis method based on wisdom education and server

A technology of user demand analysis and demand analysis, which is applied in the fields of smart education and big data mining, can solve problems such as difficulty in ensuring the efficiency and accuracy of teaching course demand mining and analysis, and technology is susceptible to interference, so as to improve timeliness and avoid influence and disturbance Effect

Inactive Publication Date: 2021-11-26
山东宝购大数据科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in practical applications, the inventors found that for the analysis of teaching course requirements, related technologies are easily disturbed, making it difficult to ensure the efficiency and accuracy of teaching course demand mining and analysis

Method used

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  • Big data user demand analysis method based on wisdom education and server
  • Big data user demand analysis method based on wisdom education and server
  • Big data user demand analysis method based on wisdom education and server

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Embodiment Construction

[0075]In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings that need to be used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. Unless otherwise apparent from context or otherwise indicated, like reference numerals in the figures represent like structures or operations.

[0076] It should be understood that "system", "device", "unit" and / or "module" as used herein is a method for distinguishing different components, elements, components, parts or assemblies of different levels. However, the words may be replaced by other expressions if other words can achieve the same purpose.

[0077] As indicated in this application and claims, the terms "a", "an", "an" and / or...

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Abstract

The embodiment of the invention discloses a big data user demand analysis method based on wisdom education and a server. When the method is applied, bidirectional session description mining and description link saliency mining are carried out, so that the influence and disturbance of redundant multimedia teaching interaction logs corresponding to some interference type online sessions on project mining can be avoided to a certain extent, and the timeliness, pertinence and reliability of project potential course demand mining are improved. Besides, the significance determination of the description link of the redundant multimedia teaching interaction log corresponding to the interference type online session can be reduced, so that the resource overhead occupied by project potential course demand mining is adaptively improved, and the project demand mining efficiency is improved. In this way, classroom description mining can be timely and reliably achieved in an intelligent education scene, and therefore it is ensured that different remote education clients can receive issued teaching resource projects in time during teaching service interaction.

Description

technical field [0001] This application relates to the technical fields of smart education and big data mining, and in particular to a big data user demand analysis method and server based on smart education. Background technique [0002] With the continuous update and development of Internet technology, the form of education will also undergo tremendous changes. As an important application of "Internet +", smart education covers remote interactive classrooms, VR education cloud platforms, AI+ education and teaching evaluation, and campus intelligent management, etc. Subdivide the scene. Among them, the remote interactive classroom, as one of the more widely used scenarios, can provide a flexible and convenient teaching environment for various groups. [0003] In the operation process of remote interactive classrooms, the timely and orderly delivery of teaching resource items (such as class notes, homework, etc.) is the key to improving the efficiency of smart education int...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/43G06Q50/20
CPCG06F16/43G06Q50/205G06F2216/03
Inventor 梁成敏花壮林
Owner 山东宝购大数据科技有限公司
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