Research on Intelligent Service of Academic Library Driven by Big Data

Driven by Big Data (BD), academic libraries are facing the challenge of service transformation. This article focuses on the smart service of academic libraries driven by BD, aiming at building a scientific and efficient smart service model and helping the development of education and scientific research in universities. In this article, using the methods of literature research and theoretical analysis, the related theories of BD, the concept of intelligent service in academic libraries and their relationship are deeply analyzed, and the discussion is carried out from three elements: data, technology and personnel. It is found that the data sources of academic libraries are diverse, covering collection resources, readers' borrowing and online interactive data, and the quality should be strictly controlled. Key BD technologies, such as data mining and machine learning, provide support for smart services, but they face the problem of technology update and integration. The transformation of personnel role to data analyst and service designer requires a variety of abilities. Based on this, this article constructs an individualized, proactive and intelligent management service mode, which provides theoretical support and practical guidance for the development of intelligent service in academic libraries.