Research And Implement Of Web Information Intelligence Collection And Personalized Service System

In today’s rapid development of the Internet, online information is very expansion, everyday is the exponential growth.Users can get more and more information resources online However, how toquickly and accurately find the information which they are interested to become problem plagued usersTraditional access to information has been far from satisfying the needs of users, user-centeredpersonalized information acquisition and service model has become one of the hot. Personalizedinformation acquisition and service combine Information collection technology with informationpush technology.it through information collection technology to get real-time information fromInternet;then according to the needs of different users,it creates user interest modelto provide thebasis for personalized push services.This paper mainly studies the intelligent collection technology of web information andpersonalized information push technology. Intelligent collection of Web information mainlyresearched web crawlers and web information extraction technology, using the breadth-firsttraversal algorithm combines URL filtering policies (including crawling depth, the URL handlingscope and the URL format, etc.) achieve an efficient and practical web crawler.For Informationextraction technology, we through analysis the characteristics of web information, we decided touse a template-based Web information extraction technology,it can turn the unstructuredinformation to structured information,after denoising and classification of information and otherpost-processing,push personalized information for user.In the personalized information push part,we use the user interest model generation methods which combine the active users customizeand system to automatically analyze,through display and implicit two ways to obtain and analyzeuser interest, to establish a more accurate model of user interest, combination of display andimplicit ways to obtain and analyze user interest model. Finally, use the technology of initiativepush, with a variety of push, such as web pages, e-mail, SMS and so on, provide users with morereal-time, efficient personalized information introduced delivery service.