Web Data Mining Model And Application Research For E-commerce User Behavior

The development of Internet and information technology,the continuous generation of new business model,which is a new e-commerce business model with the rapid development of Internet and information technology,the transformation of traditional enterprises have to the development of electronic commerce.However,with the rapid development of e-commerce,e-commerce website platform is presented to the amount of commodity information users rapid growth,has brought much inconvenience to the users and also hinders the development of electronic commerce better.In the big data era of e-commerce,enterprises how to make the thought and method of data mining application in e-commerce,powerful data using Web data mining analysis capabilities,dig out the valuable information of potential customer behavior,from the massive Web data,and used for business analysis and decision support enterprise correctly,efficient,this has become a hot topic of current research.Aiming at the shortage of the construction and application of Web data mining model of electronic commerce,this paper first introduces the overview of electronic commerce,user behavior definition and content analysis of Web,the definition of data mining,classification,process and technology,introduction,and recommendation method of personalized recommendation system;secondly,introduces data mining in Web in the electronic commerce application background and application value,the analysis of the Web data type,data sources and characteristics;thirdly,user behavior in e-commerce based on Web data,according to the CRISP-DM data mining methodology,using IBM SPSS Modeler data mining software,using a variety of data mining analysis,and constructs the user purchase behavior prediction model of goods recommendation model,user segmentation model and product feature analysis model;finally,the recommendation model based on Design The overall framework of the personalized recommendation system,commodity module,online offline module and MQ database,and MQ video store as an example,the design and development,and ultimately the users can choose to set the MQ recommended method of audio and video products personalized recommendation.In this paper,the Web data of user behavior based on e-commerce,focusing on the Web mining model construction and application in e-commerce personalized recommendation system and discussed the related research,it has a certain practical significance mining model of e-commerce enterprise application of Web.