【摘要】 随着信息技术的不断发展,生产生活各维度电子数据信息不断产生,并呈现大数据特点。图书馆是储备图书、提供图书借阅服务的专业机构。在大数据背景下,如何利用大数据提供的多维度信息,实现用户的图书借阅精准推荐成为一项研究课题。鉴于此,本文提出了一种基于大数据的图书馆推荐借阅方法,对用户需求、图书资源进行了形式化定义,并对数据关联、智能推荐等理念进行详细阐述。本文具有一定理论与应用实践价值。更多还原

【Abstract】 With the continuous development of information technology, electronic data information in all dimensions of production and life is constantly generated, and presents the characteristics of big data. The library is a professional organization that reserves books and provides book borrowing services. In the context of big data, how to use the multi-dimensional information provided by big data to realize the accurate recommendation of users’ book borrowing has become a research topic. In view of this, this paper presents a library recommended borrowing method based on big data, formally defines user needs and book resources, and expounds the concepts of data association and intelligent recommendation in detail. This paper has certain theoretical and practical value.更多还原