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文献推荐系统综述
引用本文:李琳娜,张志平,刘春霞.文献推荐系统综述[J].数字图书馆论坛,2012(5):32-38.
作者姓名:李琳娜  张志平  刘春霞
作者单位:1. 中国科学技术信息研究所北京100038
2. 郑州铁路职业技术学院郑州450052
基金项目:科技部啊目“面向外文科技文献信息的知识组织体系建设与应用示范”课题之一.信息资源自动处理,智能检索与sTKOS应用服务集成”资金支持.
摘    要:文献推荐系统帮助用户在海量文献环境下发现个性化的信息,已经成为文献检索系统的重要组成部分。文献推荐技术研究在信息检索、文献计量学与电子商务推荐系统研究成果综合演变下发展起来。首先讨论了一般个性化推荐技术;进一步对文献推荐技术已经取得的研究成果进行了系统的分析与总结;同时,介于评价测度与方法是推荐系统的重要组成部分,给出了常用的文献推荐系统的评价测度;最后,对文献推荐系统研究现状作出总体评价并指出将来的发展方向。

关 键 词:文献推荐  推荐系统  协同过滤  基于内容的推荐  混合推荐

A Survey of Document Recommender Systems
Li Linna,Zhang Zhiping Institute of Scientific and Technical Information of China,Beijing,Liu Chunxia.A Survey of Document Recommender Systems[J].Digital Library Forum,2012(5):32-38.
Authors:Li Linna  Zhang Zhiping Institute of Scientific and Technical Information of China  Beijing  Liu Chunxia
Institution:/ Zhengzhou Railway Vocational College, Zhengzhou, 450052)
Abstract:Document recommender systems can help people acquire documents that correspond to their information need from huge amount of documents and have become the key part of document retrieval systems. It is developped under the comprehensive evolution of information retrieval, bibliometries and E-commerce. General recommender systems were introduced firstly in this paper. The research to document recommender system were systematically analyzed and discussed subsequently. Because measurement plays importan role for recommender systems, the often used methods to evaluate document recommender system is investigated at the same time. Finally, an overall assessment for document recommender system and its future direction is discussed.
Keywords:Document recommender  Recommender systems  Collaborative filtering  Content-based recommender  Hybrid recommender
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