The Application Of Recommended Algorithm In College Entrance Examination Volunteering

The college entrance examination voluntary report attracts the attention of the society every year and affects all aspects of society.From the examinee's point of view,it affects whether the candidates can be satisfied with the institutions and professional admission;from the perspective of colleges and universities,affecting the quality of college admissions and The improvement of teaching;from the national point of view,it affects the process of national talent training and modernization.However,the status quo of the college entrance examination voluntary reporting is based on the data analysis of the online inquiry,the advice of the senior elder sister,the knowledge accumulation of parents and teachers,and the simple discrete analysis of the admissions of previous candidates in recent years.There is a strong subjective factor.Failed to quantify and accurately factor in all the factors.In the past college enrollment admission,provincial candidates fill in the volunteers,colleges and universities in the assessment of disciplines and colleges and universities in the overall strength of the comprehensive accumulation of a large number of high-quality college entrance examination and volunteering to fill in the relevant data.Therefore,this article is dedicated to tapping these valuable data resources to provide candidates,parents and students with free,quantitative,accurate and personalized college entrance examination voluntary aids.In this paper,the support vector regression algorithm(SVR)in the regression algorithm is adopted,and the professional average line scores of each major in each college from 2007 to 2016 are used to predict the professional line of colleges and universities in 2017;the clustering algorithm is used.The fuzzy clustering algorithm(FCM)and the genetic algorithm of the optimal solution to the problem,for the user's different "customer portrait" features,recommend the best universities and professions for users to fill in volunteer choices and recommend the best volunteer filling order for User reference.It also fulfilled three functions related to college entrance examination voluntary reporting.The first one is the query function.Users can inquire the average admission scores for each major in each college for ten years(2007-2016),and the provinces where the users of six years(2011.2017)are located.Each batch of admissions scores,colleges and universities the latest comprehensive strength,teaching quality,graduate quality,teacher level,subject level,professional level and other college attributes and other information;the second is based on scores to select the school function,the user can own The test scores,provinces and types of learning input system,the system for the user to filter and evaluate college information in line with the application conditions,the results of the screening fuzzy clustering,to provide users with the highest cluster center value of a type of college as a report Voluntary reference information;the third is a personalized recommendation function,similar to the second function requires the user to enter test scores,provinces and types of learning information and conduct occupational personality test,test results can match the personality of the character suitable for research and occupations Relevant professions,which eliminate the institutions ranked by comprehensive strength by fuzzy clustering algorithm,and finally Through genetic algorithm,the optimal and professional institutions recommended to the user.After system design and implementation,through continuous input of different information tests,the recommendation results have a certain degree of accuracy and reasonableness,which proves that the system has a certain supporting role in the candidate's voluntary reporting.