An educational institution recommendation method based on big data and a system thereof

A recommendation method and big data technology, applied in the field of education, can solve the problem of spending a lot of time and even money, and achieve the effect of reducing the cost of screening, improving the quality, and expanding the scope of screening

Inactive Publication Date: 2019-01-08
苏州承儒信息科技有限公司
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing recommendation technologies are generally based on collaborative recommendations from friends or similarity recommendations based on content understanding, which may not necessarily meet the needs or expectations of users. Users need to identify suitable educational institutions and courses, which takes a lot of time and even money.

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
  • An educational institution recommendation method based on big data and a system thereof
  • An educational institution recommendation method based on big data and a system thereof
  • An educational institution recommendation method based on big data and a system thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0031] refer to Figure 1-6 .

[0032] Specifically, a method for recommending educational institutions based on big data includes the following steps:

[0033] The verification module 2 of the server 1 verifies the identity of the user.

[0034] The information acquisition module 3 of the server 1 acquires the user's education information, and the education information includes: school, educational institution, occupation.

[0035] Verification Module 2 verifies educational institution accreditation.

[0036] The information obtaining module 3 obtains the identity and education information of the user participating in the educational institution, as well as the c...

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 an educational institution recommendation method based on big data and a system thereof, the method comprising the following steps: an authentication module of a server verifies the identity of a user; the information obtaining module of the server obtains the education information of the user, the education information comprises: a school, an educational institution and aprofession; the verification module verifies the authentication of the educational institution; the information obtaining module obtains the identity and educational information of the user participating in the educational institution, and the curriculum of the user in the educational institution; the screening and sorting module divides the educational institution into a first sequence and a second sequence according to the user identity and educational information; the pushing module pushes an educational institution of a user whose educational information similarity degree exceeds a presetthreshold value to the user in a manner of a first sequence and a second sequence. The method further comprises the following steps: the information obtaining module obtains the number of courses ofa user in an educational institution; the information obtaining module obtains the attendance rate of the user to the course; the information obtaining module server obtains the satisfaction degree ofthe user to the educational institution.

Description

technical field [0001] The present invention relates to the field of education, in particular to a method and system for recommending educational institutions based on big data. Background technique [0002] With the popularization of the Internet, various online education resources have become more abundant. How to find suitable online educational resources according to users' own needs has become a very practical problem. [0003] Traditional educational resource recommendations are mostly based on word of mouth or leaflets. With the advent of the information age, a variety of educational institutions and models have sprung up one after another. For ordinary users, how to identify suitable educational resources is not a small problem. Automatic recommendation based on big data is the fundamental way to solve this problem. Existing recommendation technologies are generally based on collaborative recommendations from friends or similarity recommendations based on content ...

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 Applications(China)
IPC IPC(8): G06Q50/20G06F21/31
CPCG06F21/31G06Q50/2053
Inventor 孙博豪
Owner 苏州承儒信息科技有限公司
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