Design And Implementation Of The Suining Municipal Government Personalized Portal System

Now, along with online resources mass increase, the information explosion, rapid development of the information superhighway and efficient administration has become the current government departments have the pursuit of the goal. The government portal website the success of the construction, actual effect or not directly related to the government's administrative ability strong or weak or not, but also from the impact on the government's management efficiency and scientific management. The government website construction will improve the government in a certain degree, improve the working way between the various government departments for public the efficiency and ability to provide government service, it is the government and people to communication link, also people access to government information related to effective means and ways. But at present our country most government website for public information services provided by lack of individuation, to make people easy to get lost in the sea of information, not for people to provide "eps guidance", cannot take for people to recommend services and information. On the one hand, caused the e-government information resources huge waste; On the other hand, also cannot provide appropriate for the public services. How to development, integration, management and use of these e-government information, to solve the technical difficulties, make it become the various government departments, in order to improve the sharing resources of government administrative efficiency, service level and decision-making scientific level, is implementing e-government systems, this paper is the key task in this background research.This article will data mining technology of Web log mining method is applied to the government portal website, analysis the public on a government Web site patterns of behavior and interested degrees, nearly and can guess what information on the government website on the public is of practical value, and USES the association rules mining government portal sites contents and the public interest in a timely manner useful information recommendation algorithm has carried on the beneficial exploration and research. The main research contents are as follows:â‘ Presents a weighted association rules based on interest degrees of personalized recommendation system model.â‘¡In real-time and recommend the balance between research quality, this paper puts forward through the capture users browse trajectory, nearly and rapid access user interests place, eventually to calculate the user's interest degrees. For items with interest degrees, offline weighted weighted association rules of a link between excavation projects, thus obtains the user interested for users provide a relatively project, accurate, timely and personalized portal recommendation.â‘¢Through theoretical analysis and experimental research, is put forward in this paper on the basis of comparison of the weighted association rules based on interest degrees of users interested in project recommendation algorithm of personalized information recommendation algorithm of precision and executing performance; The user navigation behavior is calculated, and using computer interest degrees when the personalized recommendation of accuracy and recall, examined users browse behavior characterization in the user's interest the effectiveness of personalized e-government systems.