摘要
本文以OPAC系统中的读者历史检索数据与浏览数据为研究样本,利用Python数据科学分析技术,经数据获取,数据清洗与数据转换,分析读者行为规律,总结并发现读者隐性阅读需求,以期后续更好地指导图书馆开展资源建设与阅读推广等工作。
Based on the data of readers'history retrieval and browsing in OPAC system,using Python data science analysis technology to analyze the behavior of readers through data acquisition,data cleaning and data conversion,this paper sums up and discovers the readers'recessive reading demand,so as to guide the library to carry out the work of resource construction and reading promotionin the future.
作者
张光照
Zhang Guangzhao(Library of Guizhou University of Finance and Economics,Guiyang,Guizhou,550025)
出处
《贵图学苑》
2022年第2期31-34,共4页
Guizhou Library Publication
