Optimization of enterprise human resource management system by using information search and machine learning

In modern market economy, effective management of human resources is one of the important factors for the success of enterprises. Enterprises need to fully leverage the enthusiasm and creativity of employees in management, pay attention to talent cultivation and development, and provide strong support for the development of the enterprise. This article proposes an enterprise human resource management system based on information search and machine learning technology. The system adopts various technical means, including data transmission, data information management, user identity and role authentication, network user interface, etc., to carry out security prevention and control of the system from multiple perspectives, meeting the actual security needs of enterprise human resource management system development and operation. At the same time, the system adopts Apriori and column level sorting as information search methods for recommendation and finding requirement items. After testing, the enterprise human resource management system proposed in this article has been proven to have good performance and reliability, and can quickly manage and analyze human resource data, meeting the requirements of enterprises for human resource management systems. This system can effectively improve the human resource management level of enterprises, improve the work efficiency and productivity of employees, and thus achieve the maximization of enterprise profits and the enhancement of market competitiveness.