Chen Dan, Liu Yijun, Luo Ye, Qian Xiufang, Wu Zhiqin
User portrait provides a powerful tool for libraries to understand users, penetrate users and realize the knowledge, scene and initiative personalized smart service. This paper proposes the model framework of personalized smart service of library based on user portrait, uses intelligent technologies such as machine learning to analyze and mining user big data and build user portraits, links users and resources by using user portraits, and provides users with personalized smart service. Strategies of library personalized smart service based on user portraits are proposed from aspects of knowledge service, reading promotion, scene recommendation and initiative custom made service.