摘要
为实现高校图书资源的准确推送,本文提出了一套基于《中国图书馆分类法》的高校图书馆用户兴趣模型。本文详细介绍了用户兴趣模型的设定与更新方法,并运用《中国图书馆分类法》和《汉语主题词表》来确定文献主题词,进而建立基于主题词的文献特征向量,在此基础上计算文献特征向量与用户兴趣特征之间的相似度,最终实现文献资源的精确推送。
In order to realize the accurate pushing of university library resources, this paper proposes a set of user interest model for university libraries based on the Chinese Library Classification. This paper introduces the setting and updating methods of user interest model in detail, and uses the Chinese Library Classification and the Chinese Subject Word List to determine the literature subject words,and then establishes the literature feature vector based on the subject words, and on this basis calculates the similarity between the literature feature vector and the user interest features, and finally realizes the accurate pushing of literature resources.
作者
彭建
PENG Jian(East China University of Technology,Jiangxi Nanchang 330013,China)
出处
《信息与电脑》
2022年第12期17-19,共3页
Information & Computer
关键词
高校图书馆
向量空间模型
用户兴趣
university libraries
vector space model
user interest
作者简介
彭建(1982-),女,湖南醴陵人,本科,助理馆员。研究方向:图书馆信息服务与管理。
