Design And Implementation Of System Of Personalized Service Based On Web Log Mining

The development and dissemination of computer technology and network technology give people a condition of free accessing to the information around the world, but at the same time it leads to an explosive growth of information on the net. Accompanied by an endless information media, as well as the current users' demands increasingly complex, traditional browser model has been unable to meet the needs, the lack of personalization has become increasingly obvious, the study and realization of personalized service become inevitable. As the foundation and core of Personalized information services, the quality of the user model is directly related to the personalized information services. Personalized Information Service System in the user model is not a general description of the individual user, but description that is an algorithm-oriented, a formal one with a specific data structure.This article mainly focus on the study of the status of the user model of current low recommended level web site which is lack of personalization, through the description of the user's interest ,establishing the user's interest model, to make the recommended result to meet the actual needs of users more in line.This article introduces the definition of personalized service, the general situation of development, and the actuality and results of research, exoatiates on the definition, function, classification of the user model, the means of user model information's access, user model's representation; introduces the Web Log Mining and the key technologies involved . This article made a general design of the personalized service system based on WEB Log Mining, designed and realized the data pre-processing module, and raised several areas for improvement at the end of the paper.