A smart course selection recommendation method based on collaborative filtering

A collaborative filtering and recommendation method technology, applied in the direction of instruments, data processing applications, computer components, etc., can solve the problems of waste of course resources and decline in the quality of course selection, so as to avoid blindness, improve the quality of course selection, and improve learning interest and enthusiasm Effect

Active Publication Date: 2021-03-16
ZHEJIANG ZHENGYUAN ZHIHUI TECH
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the shortcomings of the waste of course resources and the decline of course selection quality in the prior art, the present invention provides a smart course selection recommendation method based on collaborative filtering

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A smart course selection recommendation method based on collaborative filtering
  • A smart course selection recommendation method based on collaborative filtering
  • A smart course selection recommendation method based on collaborative filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] First, according to its own actual situation, after data governance, the school establishes a cloud campus big data center to store student information data.

[0061] On the basis of the data center, students are asked to log in to the course selection system for the first time every semester to fill in the information when selecting courses, obtain student information data through the educational administration system, and extract the student characteristic data set X after data processing, and calculate the similar student set D of the students to be recommended. .

[0062] The sample data set consists of the students to be recommended E=(e 1 ,e 2 ,...,e 6 ,e 7 ) and the set of previous students C={x 1 ,x 2 ,x 3 ,...,x n }composition.

[0063] Selected features include:

[0064] Obtain the basic personal information of students in the educational administration system, extract the three characteristics of college, gender, and major, as well as the major categ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the field of course recommendation methods, and discloses a smart course selection recommendation method based on collaborative filtering, including: step 1, obtaining student information data, and obtaining a student characteristic data set after data processing; step 2, calculating according to the student characteristic data set Obtain a set of similar students of the students to be recommended; step 3, divide the courses in all course sets into popular courses and unpopular courses; step 4, obtain the course evaluation characteristic data set through the students' evaluation of the selected courses after learning; Step 5. According to the course evaluation feature data set in step 4, calculate the recommendation scores of popular courses and unpopular courses, and make course recommendations for students to be recommended. Through the construction of the smart campus big data center, the present invention obtains students' interests in course selection, individual needs and concerns about courses, and recommends personalized courses for students, which improves the quality of course selection and is conducive to the individualized and comprehensive development of students .

Description

technical field [0001] The invention relates to the field of course recommendation methods, in particular to a smart course selection recommendation method based on collaborative filtering. Background technique [0002] Smart campus is the top-level design of national education informatization. With the rapid development and further application of advanced information technologies such as big data, cloud computing, Internet of Things, and mobile Internet, traditional campuses have gradually moved from the stage of electronic and digital campuses to the stage of smart campuses. The concept of smart campus is to realize rapid information exchange and management of various applications in the campus, including human, financial, and material, and improve the efficient and orderly development of daily teaching, learning, research, management and other business activities on campus. The core of the smart campus is a big data center with highly concentrated data, which efficiently...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06K9/62G06Q50/20
CPCG06Q50/205G06F18/23213
Inventor 袁玉波叶宣佐陈琛刘智海
Owner ZHEJIANG ZHENGYUAN ZHIHUI TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap