An Agent-Based Personalized Recommendation System
一个基于Agent的个性化推荐系统

There have been various approaches for recommendation systems, such as content-based, collaborative, Web mining-based and so on. The performance of all these recommendation methods varies according to the characteristic of the application domain to which they are applied. It is difficult for any one of these methods to satisfy multiple recommendation requests. This paper presents a personalized recommendation system with Multi-Agents based on Web intelligence thought. This recommendation system can satisfy multiple recommendation requests and the Internet will appear a little intelligent in the view of users.