Unlock instant, AI-driven research and patent intelligence for your innovation.

Course recommendation method and system based on student attributes

A recommendation method and recommendation system technology, applied in the field of course recommendation methods and systems based on student attributes, can solve problems such as inability to implement course recommendation, and achieve the effects of accurate course recommendation, weakening importance, and achieving real-time and accuracy.

Inactive Publication Date: 2017-10-03
PEKING UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] The purpose of the present invention is to provide a course recommendation method and system based on student attributes, which can effectively solve the problems in the prior art, especially the problem that the existing course recommendation system cannot achieve accurate course recommendation

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
  • Course recommendation method and system based on student attributes
  • Course recommendation method and system based on student attributes
  • Course recommendation method and system based on student attributes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] Embodiment 1 of the present invention: a course recommendation method based on student attributes, such as Figure 5 shown, including the following steps:

[0056] S1, assuming that students with the same attributes have similar preferences for courses, and students with similar grades of completed courses have similar strengths; classify students according to attributes (including professional characteristics, grades of completed courses, and categories of courses). Clustering processing; determine the class to which the target student belongs, and calculate the similarity between the target student and other students in the class, and find the "neighbor" student set similar to the target student's course selection preferences; among them, the improved cosine similarity formula is used Calculate the similarity between the target student u and other students v in the class:

[0057]

[0058] Among them, w uv Represents the similarity between student u and student v...

Embodiment 2

[0070] Example 2: A course recommendation method based on student attributes, such as Figure 5 shown, including the following steps:

[0071] S1, according to the student's attributes, calculate the similarity between the target student and other students, and find the set of "neighbor" students who are similar to the target student's course selection preferences; among them, use the improved cosine similarity formula to calculate the target student u and other students v The similarity between:

[0072]

[0073] Among them, w uv Represents the similarity between student u and student v, N(u) and N(v) respectively represent the set of courses that student u and student v have taken, and the factor 1 / (log1+|N(i)|) is used to reduce the student The impact of professional courses on the similarity in the list of courses of common interest between u and student v, N(i) represents the set of all students who have chosen course i;

[0074] S2, Find the course i that the targe...

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 course recommendation method based on students' attributes. The course recommendation method comprises the following steps: S1, calculating the similarity between target students and other students according to the students' attributes and finding out a 'neighbor' student collection similar to the target students in elective hobby; S2, finding out courses which are not elected by the target students but elected by 'neighbor' students to recommend. According to the course recommendation method, based on students' attribute data, more accurate course recommendation can be realized, and meanwhile, higher recall rate and coverage rate are obtained.

Description

technical field [0001] The invention relates to a recommendation method and system, in particular to a course recommendation method and system based on student attributes. Background technique [0002] With the rapid development of Internet technology, the problem of information overload needs to be solved urgently. Users hope to quickly and accurately obtain the required information from massive amounts of information, while information creators hope that their information can be quickly discovered and applied in massive amounts of data. In this case, Internet technology has developed rapidly in e-commerce from the initial classification directory to search engine and then to recommendation engine. Among them, recommendation engine has been the focus of academic and industrial research in recent years. Recommendation engine has realized Active interaction between users and information, "guessing" the content that users are interested in and recommending through user behavi...

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): G06Q50/20G06F17/30
CPCG06Q50/205
Inventor 沈苗
Owner PEKING UNIV