Research And Design On E-Commerce Intelligent Web Survey System

With the rapid development of e-commerce, Internet-based business Web site confronts increasing competition. How to provide customers with personalized service is a big issue to be solved in e-commerce development. Web survey could meet the needs of e-commerce system with the advantages in Organization and implementation, information collection, information processing, survey results and so on, and it can provide an effective way of user preferences, user satisfaction, users demands mining.The existing Web Survey system couldn't form questionnaire according to the user's information. Intelligent Web Survey with Web mining technology used in recommended of e-commerce system can automatically form questionnaire for users based on the user's browsing behavior information, purchase behavior information, registration information, etc. The kind of web survey questionnaire design is personalized and customized and is beneficial for analysis of individual users in e-commerce businesses as well as improve the accuracy and availability of information. In a word, it has a great significance for decision-making on the future market, product updates and development of enterprises.The paper analyzes and summarizes the concept, types and characteristics of web survey and technical architecture, user roles, functions, business process of current web survey system. Then the author point out existing deficiencies and propose the demand of improving integrated with data mining technology and research on the data mining technology, especially on Web data mining and output summary of technology about data mining.In accordance with the improvement requirements of web survey system, the paper finished the design and implementation of e-commerce intelligent web survey system through following aspects including the system technical architecture, user roles, function modules, detailed description of function points, business processes. Then the paper successfully integrate web survey intelligent assembled module with data mining technology based on the research of recommender system technology used in e-commerce system, and propose the overall structure and detailed design of intelligent assembled modules. Finally the paper gave solutions on strategy of web survey questionnaire push without affecting the user experience.