Web Bloggers Mining Model And Design

When E-commerce,E-marketing and Blog Marketing rise as well as Data Mining and Web Mining techniques become mature.Application study on Web Mining techniques used in Blog Marketing and blogger information Analysis is important and urgent.The topic is Interdisciplinary with a strong cross-cutting.First of all,this article describes the main content of E-commerce,E-marketing,blog and Blog Marketing.Meanwhile,this paper describes the Content of Data Mining and Web Mining, including the definition,function,technique,process of Data Mining and the definition, characteristics,classification,process of Web Mining.It describes the application of Web Mining in E-commerce and Blog Marketing.Secondly,the analysis of blogger features and Blog Marketing strategies is the focus.The paper analyzes the blogger features from the view of the market scale,the authors with their network behavior,the reader characteristics and the customer satisfaction.In accordance with the blogger features,the paper proposes the concept of Blog Marketing Combination Strategy for the first time.Under the framework of Marketing Combination and from the view of produce,price, promotion,place,it made a systematic study of Blog Marketing strategies.Subsequently,It designs a blogger Information Web Mining model.Based on the analysis of blogger features and Blog Marketing strategies,it proposes a Web Mining pattern which is Specifically for blogger information analysis for the first time.It designs a Web Mining model Specifically for fashion women between 20 and 30 years old who have different preferences for apparel brands.The model has some parts including data collection,data pre-processing,cluster analysis of the boker,classification analysis of the boker,correlation analysis of the boker and personalized recommendation on the boker.Then,it tests the blogger Information Web Mining model to verify the feasibility and availability of the model by a comparative analysis of experiment results and survey findings. The contents include experiment environment,data acquisition,experiment results analysis, survey design and survey findings.Finally,this article summarizes the subject and looks into the future.