Based On Web Data Mining In The Electronic Products Buy Intelligent Systems Design And Implementation

In recent years, with the development of e-commerce and Web services in the electronic website to make a purchase, sales and execution of electronic transactions, the number is significant growth. However, with the further expansion of e-commerce, consumers face a flood of product information to do shop around, preferred to buy, is not an easy things. The shopping phase of the consumers, consumers need to spend more and more time to browse through a variety of business websites, the person on the product information acquisition, and all goods were compared, and finally to conduct electronic transactions. This process is very time-consuming, and sometimes the webpage content of the document is irrelevant to the required product information, which is bound to affect consumer confidence in online shoppingPaper object for the consumer often buys the product, based on the developed Web based guide system, mainly implemented by application of Web data mining technology, including Web mining and commodity association rules, etc. Meanwhile, online shopping system is also integrated with Java technology, the MVC pattern and the J2 EE platform. This major work includes:(1) a comprehensive exposition of the shopping guide system, analyzes the current status of smart shopping guide development and lack of delimitation of the scope of the problem domain for your own research;(2) the balance between the real-time with the recommended quality system recommendations for the current generation of smart shopping guide system intelligence, a two-stage recommendation framework designed offline module and the online module two-stage separation process, an effective solution not balance.(3) on automatic model-based recommendation algorithm, recommended, and effectively improve the efficiency of the recommended level of consumer preferences and commodity two correlation.(4) on the basis of theoretical studies, the use of Java technology, J2 EE platform, and the MVC pattern, Web-based data mining techniques, the feasibility of online shopping system, system requirements, system design and implementation in-depth analysis, design and developed an online shopping system, and used in online book sales.