Course recommendation method and device combining student fitness and course matching degree

A recommendation method and suitability technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as poorly recommended courses, recommendation technology that fails to consider student suitability and course matching

Active Publication Date: 2020-08-25
ZHEJIANG LAB +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved in this application is that the existing course recommendation technology fails to consider the suitability of students and the matching degree of courses, so that courses suitable for students cannot be well recommended

Method used

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  • Course recommendation method and device combining student fitness and course matching degree
  • Course recommendation method and device combining student fitness and course matching degree
  • Course recommendation method and device combining student fitness and course matching degree

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Embodiment Construction

[0058] The following are specific embodiments of the application and in conjunction with the accompanying drawings, further describe the technical solution of the application, but the application is not limited to these embodiments. In the following description, specific details, such as specific configurations and components, are provided only to help a comprehensive understanding of the embodiments of the present application. Accordingly, those of ordinary skill in the art should recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

[0059] It should be noted that, in the case of no conflict, the implementations in the present application and the features in the implementations can be combined with each other.

[0060] figure 1 It is a flow chart of a course recommen...

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Abstract

The invention provides a course recommendation method and device combining student fitness and course matching degree, and relates to the technical field of computer data processing. The method comprises the following steps: obtaining user data and course data of an online course learning platform; calculating a possibility value of selection of different courses by the target user; sorting according to the possibility values of the courses, and selecting the first d courses with the highest possibility to generate a first sub-recommendation list C1 for course recommendation; performing statistical analysis on the course category selected by the user u, respectively selecting courses with high matching degree for professional courses and other courses, and comprehensively constructing a second sub-recommendation list C2; and fusing the first sub-recommendation list C1 and the second sub-recommendation list C2 to generate a final recommendation result. According to the online course matching recommendation method, the selection suitability between the user and the courses and the matchability between the courses are considered, the accuracy of course recommendation is improved, andthe learning requirements of the user are better met.

Description

technical field [0001] This application relates to the technical field of computer data processing, in particular to a method and device for recommending courses that combine student suitability and course matching. Background technique [0002] In the online learning platform, course recommendation is one of the key links. Effective course recommendation can not only improve user attendance and satisfaction, but also promote learning course sales and increase platform revenue. The purpose of course recommendation is to recommend accurately, and to find the most suitable course for the user according to the learning objectives and learning needs of different users. However, when recommending courses, two key facts are often overlooked: (1) analyzing users’ learning types and learning needs based on users’ learning behaviors has not been well studied; (2) the internal correlation between courses is not well studied. Good exploration. [0003] At present, most course recomm...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9536G06Q50/20
CPCG06F16/9536G06Q50/205
Inventor 姜文君胡园园任德盛张吉李晓鸿徐旸李玮
Owner ZHEJIANG LAB
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