College course selection and repair mixed recommendation method and system based on attention mechanism

A technology of mixed recommendation and elective courses, applied in data processing applications, instruments, calculations, etc., can solve the problem of single recommendation effect of the recommendation method, and achieve a good course recommendation effect

Active Publication Date: 2021-03-23
SHANDONG NORMAL UNIV
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In summary, the inventor believes that the existing recommendation methods are too single and the recommendation effect is poor; the traditional collaborative filtering algorithm cannot well represent a student's preference for courses, and some existing deep learning methods often use all the students' Historical behavior is used as a training sample, but all historical behaviors of students do not have a positive feedback effect

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
  • College course selection and repair mixed recommendation method and system based on attention mechanism
  • College course selection and repair mixed recommendation method and system based on attention mechanism
  • College course selection and repair mixed recommendation method and system based on attention mechanism

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] Such as figure 1 As shown, this embodiment provides a mixed recommendation method for elective courses in colleges and universities based on the attention mechanism, including:

[0034] S1: According to the historical course selection records of the target student and other students, construct the historical course selection behavior vector of other students, the historical course selection behavior vector of the target student's professional course, and the candidate elective course vector;

[0035] S2: According to the historical course selection behavior vector of the target student's professional course and the candidate elective course vector, the target student vector is weighted with attention, and the classmate relationship vector with the classmate relationship weight is obtained according to the weighted target student vector and student relationship pair;

[0036] S3: Obtain the target student preference vector according to the candidate elective course vecto...

Embodiment 2

[0059] This embodiment provides a mixed recommendation system for elective courses in colleges and universities based on the attention mechanism, including:

[0060] The acquisition module is configured to construct other students' historical course selection behavior vectors, the target student's professional course historical course selection behavior vectors, and candidate elective course vectors based on historical course selection records of the target student and other students;

[0061] The attention module is configured to weight the target student vector according to the historical course selection behavior vector of the target student's professional course and the candidate elective course vector, and obtain the classmate relationship vector with the classmate relationship weight according to the weighted target student vector and student relationship pair ;

[0062] The recommendation module is configured to obtain the target student preference vector according to t...

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 discloses a college course selection and repair mixed recommendation method and system based on an attention mechanism. The method comprises the steps that historical course selection behavior vectors of other students, historical course selection behavior vectors of professional courses of target students and candidate course selection vectors are constructed according to historicalcourse selection records of the target students and the other students; attention weighting is performed on the target student vectors according to the historical course selection behavior vectors and the candidate course selection vectors of the target student specialized courses, and student relationship vectors with student relationship weights are obtained according to the weighted target student vectors and student relationship pairs; and a target student preference vector is obtained according to the candidate course selection vector, the historical course selection behavior vectors ofother students and the student relationship vector, thus sorting the candidate course selection according to the target student preference vector, and selecting the first k course selection courses torecommend to the target student. According to the recommendation algorithm, course recommendation is carried out by using multi-party information, so that the memory ability and generalization ability of a recommendation effect can be effectively realized.

Description

technical field [0001] The invention relates to the technical field of social recommendation, in particular to an attention mechanism-based mixed recommendation method and system for elective courses in colleges and universities. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] As the Internet course selection method is becoming more and more popular in the course selection of college students, students are often in a state of confusion about course selection. Due to unfamiliarity with unknown courses, it is difficult for students to choose elective courses that satisfy their own interests and are conducive to their professional development. In order to help students choose courses that suit them more effectively, the need for course recommendation is becoming more and more urgent in the course selection process. [0004] The existing cou...

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
IPC IPC(8): G06Q50/20G06F16/2457
CPCG06Q50/205G06F16/2457
Inventor 吕蕾王福运李赓吕晨
Owner SHANDONG NORMAL UNIV
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