Intelligent recommending system for filling parallel applications

Abstract

The invention relates to an intelligent recommending system for filling parallel applications. The system comprises an SQLServe database and a Web application, wherein at least three years of admission information of each university profession in each province, the admission information of each university profession in each province in the current year, and the latest published enrollment guide information of each university in the current year are recorded in the SQLServe database; the Web application is developed by using a recommending process; the admission information comprises admission name list, the lowest score, the highest score, the average score, the admission number and the like; the admission information comprises admission planning number, the length of schooling, the tuition fee, each specific admission profession, admission quota of the professions and the like. The system has the beneficial effects that a set of application filling reference system which is simple in operation and scientific in result is provided to students and paterfamilias by using a scientific application filling method and mining data on the basis of the historic admission data of the universities. The scientificity and the accuracy for application filling decision of the paterfamilias and the students are greatly improved, and the overall application success rate of the system in 2013 is up to over 98 percent.

Description

technical field [0001] The invention relates to the field of computers, in particular to an intelligent recommendation system for parallel voluntary filling. Background technique [0002] At present, 25 provinces across the country have taken the college entrance examination and implemented parallel voluntary filling. At the end of the college entrance examination every year, after the local education examination institute announces the students' scores and rankings, parents and candidates will consider how to fill in the college entrance examination volunteers in just a few days, that is, how to choose a number of suitable schools and corresponding majors, and finally in education. Submit and confirm in the voluntary reporting system of the Examination Institute. [0003] Before there is no parallel voluntary filling intelligent recommendation system, parents and candidates usually need to spend a lot of time to check the "compilation" (the admission rankings, minimum scor...

AI Technical Summary

Problems solved by technology

[0005] 1) Parents and candidates need to spend a lot of time on reading the materials, and it is difficult to grasp comprehensive information in a short period of time, which leads to omissions when selecting candidate schools;

[0006] 2) It is difficult for parents and candidates to locate the first choice school scientifically and reasonably

The first choice school determined from this is not scientific and reasonable enough, and there is a risk of not being selected or having high scores and low scores;

[0007] 3) Due to the lack of understanding of the rules and knowledge of parallel voluntary filling, most p