Research on the Construction of Reading Promotion Mode of University Library with AI

Abstract

Artificial intelligence empowers university libraries to advance reading initiatives, creating a smart service model that combines
precision and interactivity. By establishing an intelligent resource system, this model consolidates fragmented resources into a dynamic
knowledge network, enabling cross-disciplinary recommendations and in-depth content analysis. It also innovates virtual-real integration
scenarios, embedding personalized and collaborative support throughout teaching and research processes. Furthermore, a scientific evaluation
mechanism centered on service efficiency and user development drives continuous service optimization. Ultimately, this transformation shifts
libraries from resource managers to knowledge enablers, unlocking individual potential and fostering knowledge co-creation within academic
communities, thereby achieving the fundamental goal of technology-enhancing humanities.