关键词: 新闻资讯, 个性化推荐, XGBoost

Abstract: There are a lot of news releases on the Internet all the times. To help mobile users get interesting content in the vast amounts of information more quickly and accurately, the paper proposed a personalized news recommendation system, and designed the system structure. The system constructs features based on relevant factors that affect user reading choices, and builds a personalized recommendation model based on XGBoost algorithm. The paper provides reference for subsequent research.

Key words: news, personalized recommendation, XGBoost