The Study On Shangpin's Personalized Service Based On Web Log Mining

Nowadays, with the Web technology unceasingly development, e-commerce sites are becoming blustery, it has become a new mode of business field. E-commerce sites, at view of technology, to develop and deploy an e-commerce site is not so difficult, the key problem is how to make your own e-commerce site obtain higher profits.So, web mining technology is brought up to solve this problem, and can effectively solve this problem.Web log mining analyzes the Web log that users visit Web server and stay on the server, and use the data mining technology to find regular knowledge hiding in Web log, you can get user's access mode as well as the interest preference. Thus, this provides useful information for the basis of the construction of personalized service and for the development of e-commerce staff and management staff, it provides lots of helping to Web site improvements, bring economic benefits.This paper aims the problem of Web log mining technology and its application in electronic commerce, based on the Web log mining technology in the electronic commerce application, propose an application framework. Then, using the framework and web log mining general framework as a basis and the goal of understanding customers,designing the electronic commerce web log mining simple frame-chart, and the whole mining jobs consists of three parts, namely data cleaning, pattern mining and mode analysis, and is convenient for operation of practical application.Due to the process of Web log mining is relatively trivial, especially in the data pre-process work. Therefore, this article use the simple graph as a guidance to adopt two new XML applications, namely XGMML and LOGML, can make the pre-process work greatly simplified. Based on this, e-commerce sites mine customers buying pattern, including both the individual customer visit modes and the group access mode. This is not only beneficial to the realization of "one to one" personalized service requirements but also utilized classification technology to classify customer group, and to promote the merchant's earnings.Finally, with the above description of access mode of mining technology for the premise, analyzing in detail support frames under the e-commerce environment of customer classified, emphatically discussing the customer management problems under the e-commerce environment in order to correctly formulate enterprise's marketing strategy and help enterprise to attract customers, improve the profit.