Artificial Intelligent Recommendation System for Ideological and Political Education Content in Photoshop Course

An intelligent recommendation system is developed for integrating ideological and political education content into Photoshop (PS) courses. The system comprises various components for data collection and analysis, algorithm development, system architecture, and integration with Learning Management Systems (LMS). Data were gathered for student preferences and learning patterns for personalized recommendations of ideological and political content for Photoshop education. An algorithm was developed using content-based filtering, CF, and hybrid approaches to enhance recommendation accuracy and effectiveness. The system included a user-friendly frontend interface and a robust backend infrastructure for data processing and delivery. Integration with LMS ensures compatibility and user experience. By leveraging these components, the intelligent recommendation system provides personalized and impactful content suggestions, enriching Photoshop courses and fostering ideological and political awareness.