Recommendation System for Tree Structure Data Based on Fuzzy Preferences and Clustering

All websites are using personalized Recommendation system to suggest right product to the customer. Existing system handles tree structured items and uncertainty in user preference but it takes high memory, time and computation requirement. To overcome this issue new system is proposed with increased performance.