基于OPAC搜索和浏览数据的读者行为分析  

Analysis of Reader Behavior Based on OPAC Search and Browse Data

作　　者：张光照[1] Zhang Guangzhao(Library of Guizhou University of Finance and Economics,Guiyang,Guizhou,550025)

机构地区：[1]贵州财经大学图书馆,贵州贵阳550025

出　　处：《贵图学苑》2022年第2期31-34,共4页Guizhou Library Publication

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.

关 键 词：OPAC数据 Python分析 读者行为 读者需求 

分 类 号：G25[文化科学—图书馆学]