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作 者:马管 李娜 马建霞[1,2] MA Guan;LI Na;MA JianXia(Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;Lanzhou Library, Chinese Academy of Sciences, Lanzhou 730000, China;University of Chinese Academy of Sciences, Beijing 100049, China)
机构地区:[1]中国科学院西北生态环境资源研究院,兰州730000 [2]中国科学院兰州文献情报中心,兰州730000 [3]中国科学院大学经济与管理学院,北京100049
出 处:《数字图书馆论坛》2019年第9期30-36,共7页Digital Library Forum
基 金:国家重点研发计划“生态技术评价方法、指标体系及全球生态治理技术评价”项目的子项目“生态技术评价平台与集成系统研发”(编号:2016YFC0503706);中国科学院青年创新促进会项目(编号:2016158);中国科学院兰州文献情报中心文献情报创新能力建设项目“资源环境用户服务网络建设”(编号:Y8AJ012012)资助
摘 要:为更好地服务学科用户,满足其日益专业化、复杂化的信息需求,在已有大量用户数据的基础上,试图引入用户画像建模这一技术对当前的学科服务模式做出改善.本文从多个方面分析该技术应用于学科服务的可行性与必要性,详细描述构建学科用户画像模型的各个流程,并对完成建模后的应用场景予以举例说明.该技术通过对学科用户数据的深度挖掘分析,可为用户提供更加精准、高效的学科服务,推动学科服务向更深层次迈进.In order to provide better services to subject users and meet their growing specialized and complex information needs, the user profile modeling technology, which is based on a large number of user data and has been frequently used in many fields, is expected to be applied to the subject service. In this paper, firstly, we analyze the feasibility and necessity of the technology to be applied to subject service are analyzed from several aspects. And then,we propose the steps and methods to construct a profile model of subject users. In addition, we illustrate the application scenarios after modeling. Through the organization and in-depth mining and analysis of user data based on the new technology, we expect that it can provide services to subject users with more accurate and more efficient and thus promote the further development of subject service.
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