Research on human resource matching system based on collaborative filtering algorithm and trust propensity matching

With the continuous development of economy and society and changes in external factors such as science and technology, human resource management practices are not only strengthening the management of cooperative and coordinated relationships, but also gradually analyzing the influence of personality traits on job performance. Therefore, based on machine learning technology, this paper designs a human resource matching system based on trust propensity, which can effectively improve the operational efficiency of enterprises, reduce the cost of employment and employee selection, and reduce the cost of communication between individuals and organizations, and provide a software tool and practical suggestions for human resource management of enterprises. software tools and practical suggestions for HRM.