The Application Of Data Mining In Personalized Search Engine

Search engine is from the vast amounts of information an important tool to obtain useful information. Search engine involves many areas of theory and technology, which has a comprehensive and challenging. However, many search engine users are not satisfied with the services provided. Search engine using data mining technology to build intelligent search engine, to provide users with efficient and accurate Web search service. Therefore, I study the subject of data mining technology in the intelligent search engine applications. In this paper, intelligent search engine, in the framework of a query optimization strategies have been studied and put forward a new user interest model and a new algorithm for keyword expansion. At the same time this also excavated the user how to use the knowledge to guide the user interested in query analysis were discussed. Search for the existence of "differential expression" and "honest expression", the paper of the Semantic Web, the study proposes a semantic-based Web search engine, designed and implemented an intelligent search engine model.