Human resource allocation expert system based on big data overall planning

Abstract

The invention discloses a human resource allocation expert system based on big data overall planning. The human resource allocation expert system comprises a personal registration module, a map labeling module and an enterprise login module. The personal registration module comprises a personal information registration unit, a personal login unit, a post demand unit and a post query unit; the enterprise login module comprises an enterprise registration unit, an enterprise login unit, an enterprise demand publishing unit and an enterprise talent query unit; the map labeling module comprises an enterprise labeling unit, a personal labeling unit, a positioning unit, a position screening unit, a personal information viewing unit, an enterprise information viewing unit, a personal information list viewing unit and an enterprise information list viewing unit. The system is convenient for enterprises to recruit talents and employment of job seekers, and facilitates personal employment and enterprise recruitment, long-term development of enterprises and reasonable allocation of social human resources.

Description

technical field [0001] The invention relates to the technical field of human resource allocation, in particular to an expert system for human resource allocation based on big data overall planning. Background technique [0002] Human resource is the most critical resource among various resources in society, and it is a resource that has a great impact on enterprises. It has always been valued by many experts, scholars, successful people and famous enterprises at home and abroad. Many enterprises now attach great importance to the management of human resources. Human resource allocation refers to the scientific and reasonable allocation of human resources in an organization or enterprise in order to improve work efficiency and realize the optimization of human resources in a specific organization or enterprise. [0003] The existing recruitment information mostly adopts large-scale job fairs for campus recruitment or social recruitment, but such campus job fairs or social jo...

AI Technical Summary

Problems solved by technology

[0003] The existing recruitment information mostly adopts large-scale job fairs for campus recruitment or social recruitment, but such campus job fairs or social job fairs generally have a time limit and will not be held for a long time. However, the turnover of employees in enterprises is random, so this Such recruitment is not convenient for enterprises to replenish personnel in a timely manner. The existing recruitment software cannot clearly query the nearby recruitment needs from the map, resulting in the employment of personnel in different places. There are rent, food and other expenses in the employment in different places, which increases the living cost of employees and aggravates the situation. The economic burden of employees leads to an increase in the turnover rate of employees, which is not conducive to the long-term development of enterprises. Therefore, it often happens that enterprises cannot recruit satisfactory employees, and employees cannot find satisfactory enterprises.

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