高校智能云阅读服务平台的构建  

A Research on the Construction of Intelligent Cloud Reading Service Platform for Universities

作　　者：康汉彬[1] KANG Hanbin(Library,Quanzhou Nomal University,Quanzhou Fujian 362000,China)

机构地区：[1]泉州师范学院图书馆,福建泉州362000

出　　处：《泉州师范学院学报》2023年第4期66-72,共7页Journal of Quanzhou Normal University

基　　金：福建省教育厅中青年教师教育科研项目(JAT200550)。

摘　　要：为解决高校图书馆电子图书资源集成度不高、读者查询馆藏难度大、阅读推广形式单一等问题,文章基于聚类优化算法K-means的协同过滤技术提出一个具有一站式联合检索、个人图书资料管理、个性化图书资料推送、虚拟参考咨询等功能的高校智能云阅读服务平台的构建方案,并从合理制定馆藏结构、加强学科队伍建设、开展主题化阅读活动、建立高效馆社合作、开展线上咨询、加大宣传力度等方式论述了平台的应用与推广策略。To address the issues of low integration of e-book resources in university libraries,difficulty in querying collections,and limited reading promotion,this paper proposes a construction scheme for an intelligent cloud reading service platform for colleges and universities.This platform offers one stop joint retrieval,personal book management,personalized book recommendation,virtual reference consultation,and other functions based on the collaborative filtering technology of clustering optimization algorithm K-means.Furthermore,the paper examines the application and promotion strategies of the platform,including the rational formulation of the collection structure,strengthening the construction of subject teams,organizing themed reading activities,establishing efficient library community cooperation,conducting online consultations,and increasing publicity.

关 键 词：云阅读 阅读推广 协同过滤 

分 类 号：G253[文化科学—图书馆学]