Web mining application in university library personalized search engine

The article examines web mining application in university library search engine. It primarily researches the technology that is personal usage records track in web usage mining. It also discusses how to establish a university library personalized search engine system. The system studies user identification, user profile, user's interest model and user interest extraction. The article explains various processing modules of university library personalized search engine system. It designs university library personalized search engine system. It finally verifies that web mining has effect on searching web page ranking in university library.