Abstract: With the rapid development and popularization of AI and big data, the value of user behavior data has been gradually recognized, which further promotes the development of smart library. In order to improve the intelligence and humanization service of library, based on the history data of library users, this paper used data analysis and data modeling technology to organize user data and dig out valuable information for users, formulate corresponding classification rules and draw user profiles that meet users' needs, so as to provide users with better services, and ultimately enhance the service capacity and quality of libraries.