基于文本挖掘与推荐系统的图书管理软件  

Book Management Software Based on Text Mining and Recommendation Systems

作　　者：余贤锋 杨新彬 张文岳 司占军[1] YU Xian-feng;YANG Xin-bin;ZHANG Wen-yue;SI Zhan-jun(College of Artificial Intelligence,Tianjin University of Science&Technology,Tianjin 300457,China)

机构地区：[1]天津科技大学人工智能学院,天津300457

出　　处：《数字印刷》2022年第5期58-63,共6页Digital Printing

摘　　要：随着信息技术的发展,图书资源早已实现信息化,在互联网上出现了越来越多的图书信息数据。面对海量的数据,图书信息管理需要从信息化走向智能化。目前利用数据挖掘等技术进行图书信息管理已成为最高效、最智能的方案。本研究探索了网络爬虫、文本挖掘和协同过滤推荐技术在图书信息管理上的应用。结合前后端分离的软件开发,实现了对海量的图书信息进行获取和筛选,模拟出用户的使用习惯和偏好,从而推荐出更符合用户期望的图书信息。本研究方法在大量图书信息获取和筛选的流程上实现了自动化和智能化,可以大大提高图书信息管理效率,降低维护成本和图书管理的人力、物力,方便用户使用。With the development of information technology, the book resources have been informatized, more and more book information data has been on the Internet. In the face of massive data, it is necessary to move from informatization to intelligence, and using data mining and other technologies for book information management has become the most efficient and intelligent solution. In this study, the application of web crawler, text mining and collaborative filtering recommendation technology was explored in book information management. Combined with the separation of front and back end software development, the acquisition and screening of massive book information was realized, simulating the user’s usage habits and preferences, to recommend book information that is more in line with user expectations. This method has realized automation and intelligence in the process of obtaining and screening a large number of book information, which can greatly improve the efficiency of book information management, reduce maintenance costs and manpower and material resources of book management, and facilitate to use for the users.

关 键 词：文本挖掘 推荐系统 软件开发 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]