Design And Implementation Of Blog Oriented Personalized Retrieval System

With the rapid development of Internet,the blog system is applied widely as a kind of social network software for Internet. And with an increase in various information recourses and blog users'group of Internet, personal information services on blog users are becoming more and more important in the information retrieval system.But there are two problems on the information retrieval of blog system: on the one hand the traditional search engine on simple keywords can not provide most proper users'interests to user. on the other hand the Tag of the blog system can not provide the keyword retrieval ,as a result ,the Tag keyword retrieval is not satisfied to the blog system. So the design and implementation of blog oriented personalized recommendation service technology meets the needs of many blog users.In this paper a method is proposed for the blog system user-based personal information services, users'real search intention can be deduced by this method through the search engine. But the personal interest is not considered in the traditional search engine. Users'Tags show users'interests, so the blog Tags are applied to the search engine to realize the personalized recommendation service on the blog system. The advantages of Content-based Filtering and the Collaborative Filtering technique are combined to a new technology approach, and a kind of intelligent architecture for personalized search engine on blog is given. On this basis, the users'model depending on the users'Tag is constructed. Then to dynamically trail the users'behaviors and dig out the users'implied interests, the users group's interest model is constructed through the similar users according to the algorithms of clustering based on users. The high-class regular index of the search engine on two kinds of pattern is suggested in the paper. Matching many times between the Tag keywords and index files achieve the final result. And it provides the personal search service to the users.On the basis of the above-mentioned work, blog oriented personalized retrieval system is designed and implemented, which overcomes the disadvantage of blog Tag and traditional search engine. It can mine users'interest and cater to their special interesting. Personalized recommendation service in search engine for the blog users is given last.