摘要
根据大数据环境下图书馆现有学科服务的现状,结合大数据和人工智能技术,从数据的获取、处理、存储、分析和应用5个层面入手,分析用户行为信息并赋予数据标签,从而预测用户的个性化学科需求。基于图书馆的文献和业务等数据,讨论大数据处理的流程和实现途径,快速为用户提供所需学科知识,提高图书馆资源利用率,构建图书馆学科服务新模式。
Aiming at the current status of library subject services under the big data environment,the article integrates big data and artificial intelligence technology,starting from five levels of data acquisition,processing,storage,analysis and application,analyzing user information behavior,and assigning tags.Predict their individual subject needs;discuss the process and realization of these big data based on the library′s literature and business data;find the subject knowledge that can meet their needs for users,and maximize the utilization of library resources,Construct a new library subject service model.
作者
袁庆莉
YUAN Qingli(Luzhou Vocational and Technical College,Luzhou Sichuan 646000)
出处
《河南科技》
2021年第19期152-155,共4页
Henan Science and Technology
基金
教育部高等学校图书情报工作指导委员会高职高专院校分委员会资助项目“融合大数据和人工智能技术的学科服务模式创新研究”(TQ-2020-20)。
关键词
大数据
人工智能
学科服务
big data
artificial intelligence
subject service
