农业图书情报学刊 ›› 2015, Vol. 27 ›› Issue (9): 108-110.doi: 10.13998/j.cnki.issn1002-1248.2015.09.026

• 工作研究 • 上一篇    下一篇

数字图书馆个性化推荐系统研究

李娜   

  1. 山西大学商务学院,山西 太原 030031
  • 收稿日期:2015-04-14 出版日期:2015-09-05 发布日期:2015-09-16
  • 作者简介:李娜(1984-),女,山西大学商务学院助理馆员,学士,研究方向:数字图书馆。

Personalized Recommendation System of Digital Library

LI Na   

  1. Business College of Shanxi University, Shanxi Taiyuan 030031, China
  • Received:2015-04-14 Online:2015-09-05 Published:2015-09-16

摘要: 互联网技术的迅猛发展使数字图书馆成为现代图书馆建设的一个重要维度,为读者提供更加优质的信息加工和组织服务方式成为数字图书馆发展的重要方向,基于读者兴趣和使用习惯的个性化推荐系统应运而生。数字图书馆个性化推荐服务主要包括个性化定制服务、个性化推送服务和数据挖掘及决策服务。数字图书馆个性化服务需要通过相应的系统来实现,该系统一般包括用户行为数据收集模块、用户兴趣偏好数据分析模块和算法实现及推荐模型模块。现代智能搜索技术、数据挖掘技术和信息推送技术为数字图书馆个性化推荐系统的实现提供了技术保证。

关键词: 数字图书馆, 个性化服务, 个性化推荐系统, 现代智能技术

Abstract: The rapid development of Internet technology has made digital library become an important dimension of modern library. To provide readers with more quality information processing and organization service has become an important direction for the development of library. Therefore, personalized recommendation system based on readers’ interests and habits came into being. The personalized recommendation service of digital Library included customization service, personalized push service and data mining and decision-making service. The personalized service required appropriate system to achieve its functions, including users’ behavior data collection module, users’ interests and preference data analysis module, algorithm and recommendation model module. Modern intelligent search technology, data mining technology and information push technology provided technical supports for the implementation of digital library’s personalized recommendation system.

Key words: Digital library

中图分类号: 

  • G250

引用本文

李娜. 数字图书馆个性化推荐系统研究[J]. 农业图书情报学刊, 2015, 27(9): 108-110.

LI Na. Personalized Recommendation System of Digital Library[J]. , 2015, 27(9): 108-110.