谢康

• 1:江西中医药大学

摘要(Abstract)：

传统图书馆服务缺乏个性化设置,无法充分利用资源进行准确书目推荐,为了改善这一问题,提出基于读者个性化特征数据挖掘的图书馆书目推荐系统。根据读者类聚特点与数据关联规则,设计节目个性化推荐系统,并将挖掘出的关联规则应用到推荐服务当中;根据挖掘流程可得到大量数据,并对多余数据进行清理,不完整数据进行补充,计算支持度和置信度;采用基于读者个性化特征数据挖掘图书馆书目并进行推荐,由此完成图书馆书目推荐。通过实验分析可知,该推荐方法可充分利用图书馆资源,快速、准确完成书目推荐。

关键词(KeyWords)： 图书馆服务;个性化特征;数据关联规则;数据挖掘;图书馆书目;书目推荐

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 谢康

DOI: 10.16652/j.issn.1004-373x.2018.06.008

参考文献(References)：

• [1]周欣,陆康.基于图书馆数字资源访问系统的读者行为数据挖掘研究[J].现代情报,2016,36(1):51-56.ZHOU Xin,LU Kang.Data mining on reader behaviors based on library digital resource system[J].Modern information,2016,36(1):51-56.
• [2]何胜,冯新翎,武群辉,等.基于用户行为建模和大数据挖掘的图书馆个性化服务研究[J].图书情报工作,2017,61(1):40-46.HE Sheng,FENG Xinling,WU Qunhui,et al.Research on personalized services of library based on user behavior modeling and big data mining[J].Library and information service,2017,61(1):40-46.
• [3]陈臣.基于大数据挖掘与知识发现的智慧图书馆构建[J].现代情报,2017,37(8):85-91.CHEN Chen.Construction of smart library based on the big data mining and knowledge discovery[J].Modern information,2017,37(8):85-91.
• [4]韩雪飞,丁玉东,杜瑾.高校毕业季图书馆开展读者数据留存活动调查与建议[J].图书情报工作,2015,59(20):77-82.HAN Xuefei,DING Yudong,DU Jin.Investigation and suggestion on readers′date retention activities in the graduation season in university libraries[J].Library and information service,2015,59(20):77-82.
• [5]都蓝,肖丽萍,李宾.基于数据平台的图书馆毕业季服务实践研究:以暨南大学图书馆为例[J].图书情报工作,2015,59(22):79-83.DU Lan,XIAO Liping,LI Bin.Research on the graduation season service in the academic library based on data platform:a case study of Jinan University library[J].Library and information service,2015,59(22):79-83.
• [6]韩吉义.基于数据挖掘技术的高校图书馆档案信息管理平台的构筑[J].山西档案,2015(6):61-63.HAN Jiyi.Data-mining technology based construction of archival information management platform for university libraries[J].Shanxi archives,2015(6):61-63.
• [7]张戈一,胡博然,常力恒,等.基于大数据分析挖掘的地质文献推荐方法研究[J].中国矿业,2017,26(9):92-97.ZHANG Geyi,HU Boran,CHANG Liheng,et al.Basics big data analysis analytic excavation geology reference recommendation method research[J].China mining magazine,2017,26(9):92-97.
• [8]WANG Shu.Recessive effects of core journals based on Baidu index[J].Chinese journal of scientific and technical periodicals,2015,26(1):82-85.
• [9]LAI Jianfei,JIANG Zhou.Study on collection and analysis platform framework of library readers′behaviors based on WLAN[J].Library and information service,2015(10):67-71.
• [10]MA Xiaoting.Study of personalized service recommendation system for library based on contextual big data[J].Modern information,2016(4):90-94.