Application of Internet User Behavior Data in Library Big Data Analysis

This paper investigates the current state of data utilization in libraries, thoroughly analyzing the characteristics, collection methods, and processing techniques of internet user behavior data. In response to the service demands of libraries, it proposes application models such as user profiling, personalized recommendation services, and optimized collection decision-making. Furthermore, the paper offers suggestions for building a data governance system and an open knowledge service platform, aiming to enhance libraries’ data-driven service capabilities. These strategies align with the central government's directive to “promote innovation in big data technology and industry development, build a digital economy driven by data, use big data to modernize national governance, improve public welfare, and safeguard national data security” [1]