| In the massive resources of digital library, it is an important subject for digital library service to conduct personalized service centring on readers. At present, the construction of most school library is transformed into digital resource construction from quantity to quality gradually, although each library resource supplier efforts to improve the quality of their products, it is also needed big data analysis to build the unified cloud platform construction of digital library for conducting intelligent digital resource service construction centring on readers, and build intelligent service around readers’personalized needs and preferences according to the big data analysis.The thesis is divided into five chapters. Chapter one is the introduction, briefly introduces the research background, purposes and significance, the research content and the organization of this thesis; Chapter two elaborates the present situation and users’demands of digital library personalized service in our country; Chapter three introduces the whole situation of intelligent personalization at home and abroad; Chapter four combines personalized service with digital library service, puts forward the design ideas of building intelligent personalized server considering the circumstances in this period, builds intelligent personalized service system on the basis of unified authentication, unified retrieval and unified user behavior analysis; Chapter five outlooks the future, provides new research idea for digital libraries’intelligent personalized service, expands the applicable service system construction of digital library, provides knowledge acquisition system for readers. |