关键词: 立体数据, 就业去向, 相似度度量, 预测算法

Abstract: With the transformation of higher education from elite education to mass education,the employment situation of college graduates is becoming increasingly grim,but the traditional employment forecasting methods usually lack the deep utilization of college students' multidimensional data.To solve this problem,a new job orientation prediction algorithm based on students' stereoscopic data was proposed to provide higher reference value for college students' career planning proposals,which had made full use of intrinsic and external data of the students to carry out horizontal comparison and longitudinal comparison.Through a random survey of students and historical employment data,the experimental results showed that the method had high prediction accuracy and could provide the students with a reference for employment.It was of great value and significance to guide the employment.

Key words: stereoscopicdata, employment prediction, similarity measure, prediction algorithm