Design and Algorithm Implementation of Intelligent Recommendation System in Human Resource Management

This paper discusses the inefficiency of traditional human resource management (HRM) methods under the background of enterprise scale expansion and business diversification, and puts forward a solution of HRM system based on intelligent recommendation algorithm. The system adopts three-layer architecture-front-end display layer, algorithm processing layer and data storage layer, and its core functions cover user management, employee information management, job recommendation and other modules. The system design combines the improved content recommendation and collaborative filtering algorithm, and improves the recommendation accuracy and personalization level through feature fusion and improved cosine similarity calculation method. The test results show that in the scenarios of new employee matching and job vacancy filling, the accuracy rate reaches 90% and 85% respectively, and the user interface and feedback mechanism have passed the test. This intelligent recommendation system (IRS) has effectively improved the efficiency and quality of HRM and created a competitive advantage for enterprises.