Research on Personalized Service Strategy of University Library Based on Big Data Mining System

In order to improve the level and efficiency of personalized service of university library, and to meet the personalized needs of college teachers and students for borrowing books, this paper puts forward a novel personalized service strategy of university library based on big data mining system. This strategy is based on big data mining technology, and comprehensively adopts high and new technologies such as association data analysis, clustering data analysis, classification data analysis and so on. The research shows that this strategy can not only really improve the level and efficiency of personalized service of university library, but also meet the personalized needs of college teachers and students to borrow books to a certain extent.