数智驱动的读者荐购服务研究*  

Digital Intelligence-Driven Reader Recommendation Service Research

作　　者：刘英杰[1] Liu Ying-jie(Library of Henan Institute of Science and Technology,Xinxiang 453003,Henan Province,China)

机构地区：[1]河南科技学院图书馆,河南新乡453003

出　　处：《科学与信息化》2023年第12期49-51,共3页Technology and Information

基　　金：2022年度河南省图书情报研究项目,项目名称:数智赋能的图书馆创新研究,项目编号:HNTQL-2022-054。

摘　　要：读者荐购服务是文献采访工作的重要组成部分,是提升文献采访质量和满足读者个性化需求的重要保障。本文以数智理念作为读者荐购服务变革依托,分析了数智驱动读者荐购服务的优势,探讨了数智驱动下的读者荐购服务优化策略,确立了以用户需求为导向的资源建设服务体系,深化了人工智能与读者服务融合应用,加快了荐购服务的创新迭代,满足了读者阅读需求,提升了文献采访质量。Reader recommendation service is an important part of literature interviewing,and an important guarantee for improving the quality of literature interview and meeting the individual needs of readers.This paper takes the concept of digital intelligence as the basis for the reform of reader recommendation services,analyzes the advantages of digital intelligence-driven reader recommendation service,discusses the optimization strategy of digital intelligence-driven reader recommendation service,establishes a resource construction service system oriented on user needs,deepens the integration and application of artificial intelligence and reader service,accelerates the innovation and iteration of recommendation service,meets the reading needs of readers,and improves the quality of literature interviews.

关 键 词：数智化 图书荐购 读者荐购 图书馆 

分 类 号：G63[文化科学—教育学]