摘要
基于数据驱动明确智慧图书馆阅读推荐服务的实际运行状态,探讨适合大数据环境中智慧图书馆阅读推荐服务的创新途径,打造具有自我成长性的智慧图书馆阅读推荐服务生态系统。在数据驱动视角下,智慧图书馆阅读推荐服务运行原则具有生态性,运转规律符合生命周期,作用效果为正向性。基于数据驱动,可以从生态性角度利用数据驱动相关技术创新阅读推荐数据结构模型,从生命周期角度利用知识发现创新阅读推荐内容服务方向,从作用效果角度利用可视化创新阅读推荐用户服务方式。
Based on the actual operating status of data-driven clarification of smart library reading recommendation services,the paper explores innovative approaches suitable for smart library reading recommendation services in the current big data environment and builds a reading recommendation service ecosystem of self-growing smart libraries.From a data-driven perspective,the operating principles of the smart library reading recommendation service are ecological,the operation law conforms to the life cycle and the effect is positive.Based on the data-driven mode,we can use data-driven related technologies to innovate data structure model of reading recommendation from an ecological perspective,use knowledge to discover the direction of innovative reading recommended content service from the perspective of life cycle and use visualized innovative reading to recommend user service methods from the perspective of effect.
出处
《山东图书馆学刊》
2021年第2期91-95,共5页
The Library Journal of Shandong
基金
2020年国家社会科学基金项目课题“文化自信视域下的经典阅读研究”(课题编号:20BTQ009)研究成果之一。
关键词
数据驱动
智慧图书馆
阅读推荐
运行机理
服务创新
Data drive
Smart library
Reading recommendation
Operation mechanism
Service innovation
