An Employment Recommendation Algorithm Based on Historical Information of College Graduates

In recent years, with the rapid increase of college students, the employment issues of college graduates have attracted the attention of governments, society, schools, and students. However, the traditional employment recommendation algorithm usually not takes into account the relevant information of historical employment students. In this paper, an algorithm is proposed for the job recommendation, which is based on the historical information of the college graduates and makes full use of the correlation between jobs and graduates. After calculating the degree of correlation between jobs and graduates, the jobs with a high degree of relevance to the graduate will be recommended to him/her. The experiment results show that this algorithm can provide the effective guidance for the employment of graduates.