One real-time personalized recommendation systems based on Slope One algorithm

With the development of recommendation systems, reasonable designed recommendation algorithms and application on actual systems have been important fields of personalized recommendation. System characteristics and users´ specific needs become two key considerations of these algorithms. Since many actual systems are user-intensive and their items are significantly classified, we design a real-time personalized recommendation systems based on Slope One algorithm. It shows a good computing complexity in our analysis, and deserves to be widely promoted.