Construction of Research Intelligence Service System for College Libraries in the Era of Artificial Intelligence

Abstract

University libraries are undergoing a critical transformation and enhancement phase in their research intelligence services. The evolution of research demands and the exponential growth of information have rendered traditional service models inadequate for meeting faculty and students’ precise and personalized requirements. To address this challenge, libraries must adopt innovative service strategies that leverage technological advancements and optimize service processes. Such strategies are vital for enhancing the efficiency of access and the value of information resources, thereby bolstering high-quality academic research and teaching. This paper presents an optimized design for the existing research information service system, identifying key challenges within university library research services and introducing an improvement plan rooted in artificial intelligence (AI) technology. Empirical research indicates that the proposed system boosts information retrieval speed by 30%, user satisfaction by 25%, and research support efficiency by 40%. The enhanced research intelligence service system significantly elevates university libraries’ service capabilities and research support functions, offering more effective and precise information services to the academic community.

Keywords

• artificial intelligence
• research intelligence service
• university library
• information retrieval
• 97n80