【摘要】 文本检索是最早也是最重要的信息检索形式。本文从基于文字、基于结构、基于用户信息几个方面总结了信息检索中相关度计算的方法。对基于文字的信息检索,本文分别介绍了传统的布尔模型、向量空间模型、概率模型和近年以来兴起的统计语言IR模型。文本检索和其他学科逐渐融合构成当今文本检索的发展趋势,本文主要介绍自然语言处理、数据挖掘技术和文本检索的融合,井介绍了数字图书馆中的一些新的文本检索应用。更多还原

【Abstract】 Text retrieval is one of the earliest and most important retrieval applications.This paper divides the relevance similarity computation approaches into three parts:text based,structure based and user information based approaches.For text based methods,classic Boolean model,Vector Space Model,Probabilistic Model and a recently proposed model—Statistical Language Modeling IR model are discussed.Many technologies from other research areas have been applied for text retrieval:these areas include natural language processing,data mining,etc.Some technologies from these areas and some new retrieval applications in Digital ibrary are also discussed.更多还原