Study of User Behavior Data Mining and Applications in University Libraries --Taking the Central China Normal University Library as an example

Abstract

Through analysis of various data types generated from the library of Central China Normal University, such as admission data, borrowing data, digital library utilization data, and consulting service data, we explore the correlation information, value and improvement of library daily work and service. Finally, we propose the application mechanism and strategy of user behavior data of university library, which mainly includes the improvement of the organization system of big data collection, the evaluation of the data scale and usability, positioning and locating the user's big data personalized service demand, and guaranteeing the regularity and effectiveness of the work of each layer in the organization system.