Research And Implementation Of University Employment Recommendation Platform

With the increase of the number of college students in China,the number of college graduates is steadily increasing,and the employment problem of college graduates is becoming more and more prominent.In this paper,the content-based collaborative filtering recommendation Algorithm and multi-attribute dynamic bilateral matching algorithm are used to design and implement the University Employment Recommendation Platform from the following aspects:First of all,the platform is designed to achieve the function of job recommendation for students.In order to realize the precise recommendation of position,on the one hand,the weight of the characteristic items and the time influence factors are introduced into the similarity calculation,and the attribute matching value between the job-seeking students and the former graduates is calculated by using various similarity calculation methods synthetically,on the other hand,for the job information published by the recruiting enterprise in the job database,the K-means Algorithm and Canopy algorithm are used to cluster the job information,according to the matching value between students and centroID,the candidate's resume is located in the cluster with the highest similarity of Centroid,and the position set 2 is obtained.Because of the important reference value of the previous contracting companies,we set the weight of job set 1 as the preference Coefficient of the enterprise,select job set 1 and job set 2 and use the Top-N sorting to do the rough screening,and get the candidate table of the recommended job set.Secondly,we calculate the attribute matching value of the resume and candidate position set,and obtain the students'satisfaction degree and the enterprise's satisfaction degree to the students.In order to improve the accuracy of recommendation and the success rate of students applying for positions,a dynamic two-sided matching algorithm based on multi-attribute is used to build the model and calculate the matching value.Finally,the University Employment Platform is designed and implemented.According to the demand analysis,build the University Employment Platform,complete the basic information management module and recruitment information management module design and implementation.The recruitment information management module includes resume filling,job search,job application,job release,complaint acceptance,collection of jobs,interview management,job recommendation and other functions.