Python-based News Recommendation System using Collaborative Filtering and Flask Framework

This system was developed based on an analysis of the current state of news recommendation systems both domestically and abroad, key technologies and implementation methods of collaborative filtering algorithms, and the feasibility of the project. The project was developed using the Flask framework and Python programming language, with MySQL as the backend database. The system is mainly used by two types of users: administrators and regular users. Its main functions include user management, news management, and comment management for administrators, and 'My Comments' and recommended news for regular users. During the development process, the system analysis, use case diagrams for administrators and regular users, database table design, detailed design, and code implementation were completed. The system achieved good results through testing, using advanced computer and network technologies to improve the current management situation of collaborative filtering-based news recommendation systems and enhance management efficiency.