| 数字图书馆个性化推荐系统研究 |
| |
| 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. |
| |
| 作者姓名： | 李娜 |
| |
| 作者单位： | 山西大学商务学院,山西 太原 030031 |
| |
| 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 |
| 收稿时间： | 2015-04-14 |
Personalized Recommendation System of Digital Library |
| |
| LI Na.Personalized Recommendation System of Digital Library[J].Journal of Library and Information Sciences in Agriculture,2015,27(9):108-110. |
| |
| Authors: | LI Na |
| |
| Institution: | Business College of Shanxi University, Shanxi Taiyuan 030031, China |
| |
| 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. |
| |
| Keywords: | Digital library |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《农业图书情报学刊》浏览原始摘要信息 |
| 点击此处可从《农业图书情报学刊》下载免费的PDF全文 |
|
