Research And Realization Of Intelligent Recommended System Based On Fuzzy Clustering

With the popularity of the Internet and e-commerce, customers can meet their needs without leaving home. On the one hand, the development of electronic commerce facilitate people's lives. Distance is no longer a barrier. We can buy any goods conveniently which are thousands of miles distant. It provide consumers with more convenience and broader selection. But on the other hand, due to the breadth of these choices, we may fall into the sea of information, which is called information overload. Facing the complicated information, finding the product users really need becomes a very difficult thing. In this case, the emergence of Intelligent Recommendation solves this problem effectively. It is based on the technology of Data Mining which is usered to analyze the needs of the target user, and make the goods which user most likely to purchase available to the users.It reduces the time for which users find the necessary goods, and provides more e-commerce site sales.This paper introduces several common recommended technology and outlines the definition, workflow and compositions of Intelligent Recommendation System. On this basis, we implement a intelligent hotel recommendation system, which is based on the verification of tickets. We divide the property of generally object into three categories and for different types of property, we use a different method of calculation the dissimilarity. In the system we use the improved clustering method to cluster objects, and provide personalized hotel recommendation service from both users and hotels. This system is more efficient use the information of users, products and the relationship between user and product. After tested, the system provide a more accurate recommendation which is better meet users'needs.