摘要
文章聚焦读者个性化阅读需求,探索对读者的阅读需求进行解构的方法,并主张研制基于不同类别、满足不同对象的结构化的文献信息资源大数据,针对读者个性倾向,为读者量身定制阅读规划,输出科学的文献组合方案,系统指导读者开展私人阅读,使"为人找书"与"为书找人"实现有效对接。为建立并推广这一专业服务,需要研发开放式的阅读学专家系统,利用人工智能为开展私人定制阅读规划服务创造条件。
This paper focuses on the reader's individualized reading needs, explores the methods of deconstructing the reader's reading needs, and advocates the development of large data of the literature information resources based on different categories and satisfying different objects, aiming at the readers' Customized reading plan, the output of scientific literature program, the system to guide readers to carry out private reading, so that "people find a book" and "for the book to find someone" to achieve effective docking. In order to establish and promote this professional service, we need to develop an open system of reading experts, using artificial intelligence to create conditions for private custom reading planning services.
出处
《公共图书馆》
2018年第2期82-85,共4页
Public Library Journal
关键词
阅读需求
阅读规划
个性倾向分析
私人定制
数据服务
Reading needs
Reading planning
Personality tendency analysis
Private customization
Data service
