Prediction of Employment Index for College Students by Deep Neural Network

Abstract

With the acceleration of popularization of higher education in China and the intensification of employment difficulties for college graduates, the employment field has gradually widened, the number of entrepreneurs has gradually increased, and the regional differences are obvious. The employment difficulty of college graduates has aroused wide-spread concern in the society. Therefore, the convolution neural network (CNN) is used to establish a prediction and evaluation model for the employment development trend of college graduates in this paper. The feasibility and practicability are proved by a case, which is of great significance for the government and colleges to provide decision-making support and suggestions to solve the problem of difficult employment.

A Career Recommendation Method for College Students Based on Occupational Values

“…For college students upon graduation, the career choice is a big choice to make. If they cannot master the effective job information or well prepare themselves for employment, then they would face a muddy choice when determining their career direction in the future [1][2][3][4][5][6][7][8][9][10][11][12]. At this time, the occupational values are playing a significant role in instructing the career decisions of college students who do not have a clear career goal, especially in aspects of career expectation, career selection, job search, job training, and job satisfaction [13][14][15][16][17][18][19].…”

Retracted: Prediction of Employment Index for College Students by Deep Neural Network

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”