Innovation in Reference Consultation Services of University Libraries in the Context of Big Data
The advent of the big data era has brought new demands and challenges for university libraries,including the transfor-mation of information resource management models,the deepening of user behavior analysis,and the optimization of service processes.Traditional library service models reveal a series of limitations when confronted with big data,necessitating the pursuit of innovative service models to meet the needs of the new era.This article elucidates the core definitions and characteristics of big data and ex-plores its widespread application in contemporary society and its profound impact on reference consultation services in university li-braries.The study finds that utilizing big data for resource optimization,providing personalized user services,and innovating and opti-mizing service processes can significantly enhance the quality and efficiency of library services.These innovative measures not only help university libraries better meet user needs but also offer new perspectives and insights for the future development of library sci-ence and information management disciplines.The results of this research provide theoretical support and practical guidance for the innovation of services in university libraries in the era of big data,promoting the continuous development and progress of library ser-vices in the context of digitalization and informatization.
Big dataUniversity librariesReference consultation servicesService innovationUser behavior analysisOptimize
万方数据
维普
