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Teaching comment and recommendation system and method based on data mining

A recommendation system, data mining technology, applied in the field of data analysis

Pending Publication Date: 2019-11-15
SICHUAN INFORMATION TECH COLLEGE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is used to solve the problems of multi-source heterogeneous data resource integration, interest, and quality assessment, and achieve the following purposes:

Method used

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  • Teaching comment and recommendation system and method based on data mining
  • Teaching comment and recommendation system and method based on data mining
  • Teaching comment and recommendation system and method based on data mining

Examples

Experimental program
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Embodiment Construction

[0067] 1. Construct a teaching review and recommendation system based on data mining, including resource directory module, standard library management module, teaching scoring module, data collection module, data resource management module, teaching recommendation module, operation and maintenance management module; The module divides catalogs and classifies data; the standard library management module establishes a data standard specification system; the teaching scoring module conducts course and teacher comments and statistics; the data collection module collects data in various ways, and the data resource management module performs data retrieval and mining analysis ; Then establish an evaluation and recommendation model through the teaching recommendation module to realize the integrated management of various teaching data from generation, aggregation, cleaning, standardization, to association fusion, evaluation, mining analysis, and recommendation; finally, the operation a...

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Abstract

The invention discloses a teaching comment and recommendation system and method based on data mining. According to the method, the current student course selection page access similarity, the currentstudent course score similarity and the current student course selection record similarity are calculated, the recommended course selection sets are respectively obtained after the course atlas tree is constructed, and then the obtained course selection sets are weighted and combined to finally obtain the recommended course selection set. Multiple dimensions are considered, personalized recommendation of courses is realized, and blindness of course selection of students is effectively solved; existing system data of schools can be better utilized; and mature collaborative filtering and content-based recommendation technologies are used, so that the method is easy to implement.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to a data mining-based teaching comment and recommendation system and method based on course selection data. Background technique [0002] After the reform of the college education system, colleges and universities have developed in the direction of multi-disciplinary comprehensive. The coverage of disciplines and majors continues to expand, and the number of courses offered is also increasing. The increase in the number of courses brings more choices for students to choose courses, but too many courses also make the students' course selection inevitably blind. At present, the wide application of teaching management system has accumulated a large amount of teaching practice data, but the information hidden in these data has not been fully exploited and utilized. In order to make full use of existing teaching practice data, association rule data mining has been widely used in teaching ...

Claims

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Application Information

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IPC IPC(8): G06F16/21G06F16/2458G06F16/25G06F16/9535G06Q50/20
CPCG06F16/21G06F16/2465G06F16/254G06F16/9535G06Q50/205
Inventor 刘顺赵克林
Owner SICHUAN INFORMATION TECH COLLEGE
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