Analysis of Reader Behavior Diversity and Exploration of Precision Service Model in University Libraries—A Case Study of Xihua University Library

Abstract

With the rapid development of information technology and digital resources, mining reader behavior characteristics and constructing a precision service model have become critical paths for university libraries to improve service quality and resource utilization efficiency. Taking the access control and borrowing data of Xihua University Library as samples, this paper conducts a systematic analysis from two dimensions of group distribution and individual behavior, covering campus affiliation, college, reader identity, entry time slot, visit frequency and stay duration after data cleaning and standardization, so as to reveal the diversity of reader behavior patterns. Meanwhile, adopting the extreme value normalization method and weighted summation method, three core indicators (library visit frequency, total stay duration and average single-visit duration) are selected to construct a student library activity portrait model. The study finds that readers' library entry behavior in university libraries generally presents a temporal pattern of "double hump + evening peak", and the two-stage study mode with midday return is the mainstream usage pattern; significant differentiation exists in visit frequency, duration and time slot preference among different groups. The research results can provide data support for university libraries to optimize operation and maintenance scheduling, design tiered spatial services and push targeted resources, and have reference significance for promoting the construction of a personalized precision service system in libraries.