A Survey of Automatic Query Expansion in Information Retrieval
A Survey of Automatic Query Expansion in Information Retrieval
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DOI：
10.1145/2071389.2071390
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发表时间：
2012-01-01
影响因子：
16.6
通讯作者：
Romano, Giovanni
中科院分区：
文献类型：
--
作者：
Carpineto, Claudio;Romano, Giovanni
信息检索系统的相对低效在很大程度上是由于由几个关键字组成的查询对实际用户信息需求进行建模的不准确性造成的。克服这一限制的一种众所周知的方法是自动查询扩展(AQE)，由此用户的原始查询由具有相似含义的新特征来扩展。AQE在信息检索领域有很长的历史，但直到最近几年才达到科学和实验成熟的水平，特别是在TREC这样的实验室环境中。这项调查提供了大量最近AQE方法的统一视图，这些方法利用了各种数据源，并采用了非常不同的原则和技术。解决了以下问题。为什么查询扩展对提高搜索效率如此重要？AQE组件的设计和实现涉及哪些主要步骤？AQE有哪些方法可用，它们的比较情况如何？在AQE成为大型操作信息检索系统(例如，搜索引擎)的标准组件之前，还有哪些问题需要解决？
The relative ineffectiveness of information retrieval systems is largely caused by the inaccuracy with which a query formed by a few keywords models the actual user information need. One well known method to overcome this limitation is automatic query expansion (AQE), whereby the user's original query is augmented by new features with a similar meaning. AQE has a long history in the information retrieval community but it is only in the last years that it has reached a level of scientific and experimental maturity, especially in laboratory settings such as TREC. This survey presents a unified view of a large number of recent approaches to AQE that leverage various data sources and employ very different principles and techniques. The following questions are addressed. Why is query expansion so important to improve search effectiveness? What are the main steps involved in the design and implementation of an AQE component? What approaches to AQE are available and how do they compare? Which issues must still be resolved before AQE becomes a standard component of large operational information retrieval systems (e.g., search engines)?