Python-Based News Recommendation System with Collaborative Filtering

With the rapid development of the internet, the use of the internet for management systems has gradually begun to develop. The online management mode quickly entered people's eyes, and thus the 'news recommendation system based on collaborative filtering' was created, making information management for news recommendation systems based on collaborative filtering more convenient and simple.

This system was developed by analyzing the domestic and foreign status of news recommendation systems, key technologies and implementation methods of collaborative filtering algorithms, and the feasibility of the project. The topic was developed based on the Flask framework, with Python as the programming language and MySQL as the backend database. The system is mainly used by two types of people: users and administrators. The main functions include user management, news management, and comment management for the administrator role, and 'my comments' and recommended news for the user role. The system development completed system analysis, administrator use case diagram, user use case diagram, database table design, detailed design, and code functionality implementation. Through testing, the system achieved good results, using advanced computer technology and network technology to change the current management situation of news recommendation systems based on collaborative filtering and improve management efficiency.