Study On E-commerce Recommendation System Based On Web Data Mining

E-commerce sites for data mining data mining in e-commerce sites in the field of information processing products for a successful application. Web data mining is evolved from the data mining technology, data mining technology is applied to a new area of Web information.As the particularity of Web information, it is compared with the traditional data mining has added a new character. First of Web data mining is a large heterogeneous distributed object Web documents, each data source is heterogeneous; secondly Web document itself is semi-structured or unstructured and lack machine-understandable semantics. The so-called semi-structured data is the Web has certain structural, but no specific description of the model, each site independently of the design, and the data itself and dynamic variability remade thus is non-fully structured data. the rules of model and clustering algorithm, using system to automatically generate recommended products recommended to user, module planning and optimization system.Based on the study recommended a number of algorithms for various research trends recommendation algorithm to do a detailed description, Web data mining objects is one Web log files, for the average user spending the majority is also a user logs document the early history of consumption recommendation, when users propose new needs, the system will start the database mode, the database in accordance with the classification of consumer demand, and ultimately user demand for product information feedback system.In this paper, the Web data mining technology has carried on the detailed elaboration, formed the personalized service e-commerce sites on the basis of Web data mining model, and the application of data mining in the individualized service of different levels for different levels of analysis. In this paper, on the basis of Web mining technology, a study on personalized product recommendation system aimed at. The customer is interested in the content of the registration information extracted from the customers, to customers for every transaction database elements. Using the design of data warehouse, data sampling, extraction, transformation, and processing;...