摘要
随着互联网技术的迅速发展,网上文本数量成指数级增长,如何有效地提取出所需信息成为当前重要的研究课题。首先介绍文本信息检索的研究背景和现状,并讨论信息检索模型和目前广泛使用的文本信息检索算法,然后阐述通用信息检索系统和个性化信息检索系统以及目前的研究状况。最后,基于现存的问题提出了未来的工作。
With the rapid development of intemet technology, the number of documents on the intemet increases exponentially, so currently one of the most important researches focuses on that how to extract useful information rapidly and efficiently from Web. This paper firstly introduces the research background and the present situation of the text information retrieval, and discusses several information retrieval models and text information retrieval algorithms which are used widely at present, then elaborates general information retrieval systems and the personalized information retrieval system as well as the research situation for the present. Finally, the future work is proposed according to the current situation.
出处
《信息技术》
2007年第9期127-129,152,共4页
Information Technology
关键词
信息检索
个性化
文本检索
自动问答
information retrieval
personalization
text retrieval
question - answering