Intelligent course selection recommendation method

An intelligent, course-selecting technology, applied in the fields of instruments, data processing applications, computing, etc., can solve problems such as insufficient pertinence, poor relevance of the course selection system, and blind course selection by students.

Active Publication Date: 2014-08-27
JIANGSU WISEDU INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The problem to be solved by the present invention: the relevance of the current course selection system is poor, the pertinence is insufficient, and students choose courses blindly

Method used

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Embodiment Construction

[0046] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0047] The intelligent course selection recommendation method involved in the present invention is a functional module of the intelligent course selection recommendation in the student course selection system. The student course selection system is an online course selection system, such as figure 1 As shown, students select courses through the course list and the recommended courses generated by the intelligent course selection recommendation module. The course selection process generates course selection records and course selection page behavior records as the input of the intelligent course selection recommendation module. The intelligent course selection recommendation method of the present invention generates recommended courses by analyzing data such as course selection page behavior records, course ratings, course selection records, and course graphs....

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Abstract

The invention discloses an intelligent course selection recommendation method. According to the intelligent course selection recommendation method, a course map tree is established by calculating the similarity with the current student course selection page access, the similarity with the current student course grade, the similarity with the current student course selection record, recommended course selection sets respectively are obtained, then the obtained course selection sets are combined in a weighting mode to obtain the final recommended course selection set. A plurality of dimensionalities are taken into consideration, individual recommendation of courses is achieved, and blindness of student course selection is effectively solved. Existing system data of a school are utilized very well, mature collaborative filtering and the recommendation technology based on the content are utilized, and the method is easy to achieve.

Description

technical field [0001] The invention relates to intelligent course selection in a college course selection system. 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 management, which can be mainly divided into student-oriented, teacher-oriented and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/20
Inventor 尹岩严敏林文荟李海
Owner JIANGSU WISEDU INFORMATION TECH
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