Abstract: Information overload is one of the most critical problems, and personalized recommendation system is a powerful tool to solve this problem. In this article, the definition of recommendation system is introduced, this article also expounds some key technologies including user modeling, recommendation item modeling and recommendation algorithm. The recommendation frame and evaluation methods are also exhibited. This article tries to give the difficulties and future directions of recommendation system.

摘要： 信息超载是目前网络用户面临的一个严重问题，个性化推荐系统是解决该问题的一个有力工具，并受到了众多的关注和研究。给出推荐系统的定义，同时阐述了推荐系统的几项关键技术，包括用户建模、推荐对象的建模和推荐算法。后来总结了推荐系统的体系结构和性能评价指标，并尝试给出了推荐系统未来研究的重点、难点和热点问题。