Accessibility Analysis Model of College Students’ Employment Education Resources Based on Mobile Search Algorithm

Author:

Zang Xiaoming1

Affiliation:

1. Harbin University of Science and Technology, School of Economics and Management, Harbin 150040, P. R. China

Abstract

This paper introduces the mobile search algorithm into the research of employment accessibility measurement. It not only proves the effectiveness of the method, but also analyzes the characteristics and formation mechanism of College Students’ employment accessibility in the research case, and puts forward the corresponding control strategies. The results show that the employment accessibility of college students is not evenly distributed, but presents an obvious center periphery pattern. This paper puts forward the planning means of the accessibility of College Students’ employment education resources to promote the balanced distribution of employment and population, the reform of the employment structure and the reasonable improvement of policy.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computer Networks and Communications

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improvement of Employment and Entrepreneurship Ability of College Students in Higher Vocational Colleges and Universities under the New Situation of Artificial Intelligence;Applied Mathematics and Nonlinear Sciences;2024-01-01

2. Simulation Research on College Students’ Employment Prediction Model Based on Decision Tree Classification Algorithm;2023 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC);2023-12-29

3. A B/S Architecture Based Evaluation System for College Student Employment Planning;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

4. Design of a College Student Employment System Platform Based on Artificial Intelligence;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24

5. Confusion and Countermeasures of College Students’ Career Guidance Work Based on Deep Learning Models;Applied Mathematics and Nonlinear Sciences;2023-11-13

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