摘要
针对当前高校图书馆新书推送方式中存在的新书信息量大、读者难以快速获取符合其需求的新书信息等问题,提出对读者图书借阅数据进行关联规则数据挖掘,从而获得符合读者个性化需求的新书信息并由系统智能化推送给读者,以满足读者对新书的个性化需求,提高新书的利用率、流通率和图书馆智能化服务水平。
In response to the problems of large amount of new book information and difficulty for readers to quickly obtain new book information that meets their needs in the current push of new books into university libraries,this paper proposes to mine association rule data on reader book borrowing data,obtain new book information that meets the personalized needs of readers,and intelligently push it to readers by the system so as to meet the personalized needs of readers for new books and improve the utilization rate of new books and their circulation rate as well as library intelligent service level.
作者
欧阳烽
OUYANG Feng(Hunan Normal University,Changsha 410012,China)
出处
《电脑与信息技术》
2024年第4期102-104,113,共4页
Computer and Information Technology
基金
湖南师范大学树达学院教改项目“独立学院图书馆智能服务研究”(项目编号:2022106)。
关键词
关联规则
数据挖掘
信息推送
智能化推送
association rule
data mining
information push
intelligent push
