boolean information retrieval

基本解释

Most of information retrieval is based on key word literally matching, such as Boolean Model, Vector Space Model and so on.
目前常用的信息检索大多采用基于关键词字面匹配的检索方法，如布尔模型、向量空间模型等。
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。
DB2 Net Search Extender provides a flexible query language to find relevant information based on complex retrieval operations involving Boolean combination, wildcard, and fuzzy search, for example.
DB2 Net Search Extender 提供了一种灵活的查询语言，可以根据复杂的获取操作（例如涉及布尔组合、通配符和模糊搜索）寻找相关信息。