本文介绍一种扩展的布尔检索模型及其在中文信息检索系统中的应用，并利用相关反馈技术改善检索系统性能。
This article describes an extended Boolean retrieval model and its application in Chinese information retrieval systems. It also discusses retrieval improvement through relevance feedback.
本文对布尔逻辑检索模型进行分析、对比，指出各自的优缺点和存在的问题。
The article is analyzing and contrasting the Boolean Retrieval Model, pointing its advantages and disadvantages respectively.
目前已有的检索模型有布尔模型、向量模型、概率模型以及以上三个经典模型的变形模型。
At present there are the Boolean model, the vector space model, the probabilistic model and distorted model of the above three classic models.
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