Research And Application Of Employment Recommendation System In Agricultural Universities Based On Bilateral Matching Algorithm

At present,the number of new graduates from colleges and universities in China is increasing steadily every year.At the same time,the number of enrollment in colleges and universities is increasing year by year,thus more attention should be paid to the employment of graduates.In particular,the recent impact of the new crown pneumonia epidemic has increased the pressure on the entire job market but online recruitment forms are becoming more and more popular.As the main employment channel for college graduates,campus employment information platforms still have some problems,for instance,recommendation of recruitment information is not refined,screening methods are rough;the coverage of recommended companies is not enough,which makes students not be able to grasp current situation of the industry;Meanwhile,lack of analysis and presentation of employment forms in the recruitment platform and inadequate analysis of employment situation for graduates through data analysis technology are still other problems to be solved urgently.This paper takes the current campus employment information platform as a starting point.Under the background of the construction of new agricultural sciences and collaborative education,with Jilin Agricultural University as an example,the design and implementation of an agricultural university employment recommendation system is designed and implemented based on bilateral matching algorithms.The research content is mainly composed of the following aspects:(1)Realize the function of position recommendation.The feature weight is introduced into the calculation of similarity,and the attribute matching value between job-hunting students and previous students is calculated.The position set with high similarity is obtained by sorting.At the same time,for the position information,K-means algorithm is used to cluster into clusters,and the attribute matching results between the job-hunting students and the position set are calculated to get the second position set.The two position sets are combined,and then the Bayesian personalized sorting algorithm is used for rough screening to get the candidate set of recommended positions.(2)Establish algorithm model.The attribute matching results between graduates’ resume and position set are calculated to obtain the satisfaction of students and enterprises,and the preference order is obtained.Then use a bilateral matching algorithm based on satisfaction and preference order to establish a recommendation model to calculate the matching value between students and positions,The calculation results show that the matching value is improved,the accuracy of recommendation and the success rate of students’ application are improved.(3)Design the experimental link.The original data is processed,including the mixed cleaning,elimination and quantification of corporate recruitment data and related graduate student data,and statistics and analysis are carried out according to the rank order.Using content-based collaborative filtering algorithm,Bayesian personalized algorithm and bilateral matching algorithm to conduct recommendation experiments on 1664 randomly selected students.Experimental results show that for student job recommendation,the accuracy rate of the content-based collaborative filtering algorithm is 49.6%,the accuracy rate of the Bayesian personalized algorithm is 63.8%,and the accuracy rate of the bilateral matching algorithm is83.2%.The results of the research show that the recommendation algorithm in this article has a high accuracy rate,and it has a guiding and enhancing effect on the employment of students.(4)Design and implement the employment recommendation system of agricultural universities.Relying on the relevant development environment,we build the employment recommendation information platform of agricultural universities,complete the design of basic information module,recruitment management module and job portrait module,realize the functional operation of enterprise end,student end and school administrator end,as well as the design and function introduction of relevant system interface.