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A Survey of Automatic Query Expansion in Information Retrieval

机译：信息检索中自动查询扩展的综述

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摘要

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)?
机译：信息检索系统的相对效率低下主要是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所致。克服此限制的一种众所周知的方法是自动查询扩展（AQE），从而通过具有相似含义的新功能来扩展用户的原始查询。 AQE在信息检索社区中拥有悠久的历史，但直到最近几年，它才达到科学和实验的成熟水平，尤其是在诸如TREC的实验室环境中。这项调查提供了对大量使用各种数据源并采用截然不同的原理和技术的AQE近期方法的统一看法。解决了以下问题。为什么查询扩展对于提高搜索效率如此重要？设计和实施AQE组件涉及哪些主要步骤？有哪些方法可以使用AQE，它们如何进行比较？在AQE成为大型运营信息检索系统（例如搜索引擎）的标准组件之前，仍然必须解决哪些问题？

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