基于对等网的个性化推荐系统

个性化推荐系统的研究与应用已经成为一项热点，但是在信任性、实时性、可扩展性以及对移动用户提供推荐等方面还存在很多问题和挑战。为了提高系统性能，为推荐系统的使用提供更广阔的发展前景，将推荐系统建立在双层对等网络的平台上。对等点之间通过发送消息进行通讯和处理查询，并采用动态路由表机制减少重复信息。最后，通过一个实验模拟了该系统。

Personalized recommend system based on peer to peer network

The research and application about personalized recommend has attracted a lot of attention. There are many problems and challenges in the aspects such as trust, real time, scalability, recommending for mobile users and so on. In order to make the performance of recommend system be better and have a bright development prospect, personalized recommend system is built on two-layer peer to peer network platform, The peers communicate and deal with query by sending message, and use dynamic route table to reduce repetition. Finally, there is a test to simulate this system.