基于协同过滤的新闻推荐系统开发：Python Flask 和 MySQL 的应用

随着互联网的快速发展，利用网络进行管理系统的趋势也逐渐兴起，在线管理模式迅速进入人们的视野，由此诞生了‘基于协同过滤的新闻推荐系统’，使得这类系统的的信息管理更加便捷高效。

本系统通过分析国内外新闻推荐系统的现状、协同过滤算法的关键技术和实现方式以及项目的可行性后开发完成。项目基于 Flask 框架开发，使用 Python 作为编程语言，并以 MySQL 作为后台数据库。系统主要供用户和管理员两类人员使用。主要功能包括：管理员角色的用户管理、新闻管理、评论管理，以及用户角色的‘我的评论’和推荐新闻。系统开发过程中完成了系统分析、管理员用例图、用户用例图以及数据库表设计、详细设计、代码功能实现等工作。通过测试，系统取得了较好的效果。利用先进的计算机技术和网络技术来改变目前基于协同过滤的新闻推荐系统管理现状，提高管理效率。

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 vision, and thus the 'news recommendation system based on collaborative filtering' was born, making information management for such a system more convenient and simple.

This system was developed by analyzing the current situation of news recommendation systems at home and abroad, the key technologies and implementation methods of collaborative filtering algorithms, and the feasibility of the project. The project 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 users: 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 function 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.