Design And Development Of Real Estate Auction System Based On The Collaborative Filtering Recommendation Algorithm

With the development of information technology and the Internet, people come from lack of information age into the era of information overload. Whether it is information consumers and information producers are experiencing a great challenge: For information consumers need to find information of interest from a lot of information; for information producers need to produce their own information to the fore by the majority of users. Recommended system can solve this problem. Its function is to contact the user and information, on the one hand to help users find valuable information on their own, on the other hand so that information can be displayed in front of the user interested in it, so that the two sides meet information needs of consumers and producers of information. Real estate auction e-commerce system is a relatively mature system, in order to attract more customers to participate in commercial activities in the fierce competition on the Internet, the company would have to put valuable information to the user. But the traditional real estate auction system involves almost no Property recommended function. If the recommendation system embedded into the real estate auction system, the user can get more personalized and more accurate information to conduct transactions, such real estate auction website will be able to get more profit.In view of this situation, this thesis has developed a collaborative filtering recommendation algorithm based real estate auction system. The system makes full use of the advantages of collaborative filtering recommendation algorithm, making the system more personalized user-oriented. I participated in the design and development of the system, it is mainly involved in the auction system of systems analysis, design and development of the overall real estate recommended modules.Collaborative filtering recommendation algorithm based online auction system in addition to achieve the user information management, availability management auction, the auction business management of these basic functions, the most important is to achieve a system that no other real estate auction auction Property recommendation function. Property recommendation function primarily designed according to each user behavior analysis, combining data collected under this article using the recommendation algorithm to predict, real estate information personalized recommendations to users interested. The system was developed based on user recommendation algorithm using XAMPP integrated development environment, reducing the deployment process work, use Apache as a Web server, using the b/s architecture, MySQL as the database management system.