大数据驱动下高校图书馆用户阅读行为分析与个性化服务策略

中图分类号：G258.6；G252.17 文献标识码：A 文章编号：1672-3791（2026）03-0231-04

Analysis of Users' Reading Behaviorand Personalized Service Strategy in University Libraries Driven by Big Data

NONG Lihua

Library of Guangdong University of Finance， Guangzhou， Guangdong Province，51o521 China Abstract： Since the advent of the digitaland informationage，university libraries have begun touse big data analysis to understand user reading behaviors in order to enhance service quality and optimize service eficiency.Libraries can provide users with personalized reading services through operations including data integration， platform design and privacy protection based on reading behaviors such as users’individual diffrences，reading patterns，and reading data.Therefore，on thebasis of modelconstruction，it is essntialtoconduct ananalysis of user reading behaviors and personalized services inuniversitylibraries，driven by big data，from the perspectives ofapplicationand fficiency， challenges， and strategies.

Keywords： University library; Reading behavior analysis; Personalized service; Big data technology

大数据分析技术（即基于海量数据处理的用户行为解读方法）采用先进的数据挖掘与机器学习方法对用户数据进行收集、处理与建模，并提供深入的用户画像与行为模式洞察。（剩余4998字）