Abstract:The paper proposes a personalized recommendation system framework based on Fuzzy Interest Model and Multi-Agent to solve the recommentdation system’s inability to collect information from the customers’ evaluation on the commodity’s properties implicitly. The recommendation system creates and updates the UserProfile in accordance with customers’ private information collected on the client and combined with information in which customers are interested in.