摘要
[目的/意义]旨在为高校图书馆阅读推广工作提供参考。[方法/过程]基于分众阅读学说,以河海大学常州校区图书馆为例,采用K-Means聚类算法和APRIORI关联算法,借助SPSS及SPSS Modeler数据分析软件,根据读者的借阅行为,分析读者的阅读偏好和阅读需求,进而为读者提供个性化的荐阅服务。[结果/结论]大学生既有对文学类图书的阅读偏好,又有对专业课程的阅读需求。因此建议图书馆不仅要为其提供多层次、数字化、主题化的荐阅服务,还要多开展趣味性的阅读推广活动,以激发读者的参与度,助推阅读推广工作。
[Purpose/significance]The paper aims to provide references for promoting reading recommended services of the university libraries.[Method/process]Based on the theory of the customization reading,the paper takes the Library of Changzhou Campus of Hohai University as an example,uses the algorithm of K-Means clustering and APRIORI association by the data analysis software of SPSS and SPSS Modeler,and analyzes the reading preferences and reading needs with the readers’borrowing behavior to provide the personalized recommended services for readers.[Result/conclusion]The results show that the college students not only have the reading preferences for the literary books,but also have the reading requirements for the professional courses.Therefore,it is recommended that the libraries not only provide the multilevel,digital and thematic recommended services,but also carry out more interesting reading promotion activities,in order to encourage the participation of the readers and promote the work of the reading promotion.
作者
王兆庆
徐绪堪
于晓旭
Wang Zhaoqing;Xu Xukan;Yu Xiaoxu(Changzhou Campus Library,Hohai University,Changzhou Jiangsu 213022;Department of Information Management,School of Enterprise Management,Hohai University,Changzhou Jiangsu 213022)
出处
《情报探索》
2018年第12期109-114,共6页
Information Research
关键词
分众阅读
荐阅
高校图书馆
customization reading
recommended service
university library
