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基于协同过滤的数字图书馆推荐系统研究 被引量:33

A Study on the Digital Library Recommender System Base on Collaborartive Filtering
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摘要 信息推荐服务是数字图书馆的一项重要功能。该文论述了基于协同过滤的数字图书馆推荐系统的基本原理与特点、数字图书馆进行协同推荐的必要性,介绍了基于协同过滤推荐系统的主要方法和技术,并分析了目前协同过滤方法在数字图书馆推荐系统中应用的一些实例。 Information recommendation is one of importance function of digital library. This paper discusses the fundamental principles, characteristics and necessity of digital library recommender system based on collaborartive filtering, introduces the main technologies and methods involved and analyzes some appli acation examples.
作者 黄晓斌
出处 《大学图书馆学报》 CSSCI 北大核心 2006年第1期53-57,共5页 Journal of Academic Libraries
基金 教育部留学回国人员科研启动基金项目(03JA860001)研究论文之一
关键词 协同过滤 数字图书馆 推荐系统 Collaborartive Filtering Digital Library Recommender System
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