1 A Survey of Automatic Query Expansion in Information Retrieval CLAUDIO CARPINETO and GIOVANNI ROMANO, Fondazione Ugo Bordoni 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 scienti c and experimental maturity, especially in laboratory settings such as TREC. This survey presents a uni ed 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
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A Survey of Automatic Query Expansion in Information Retrieval
Carpineto, Claudio; Romano, Giovanni
Follow ACM Computing Surveys (CSUR)
, Volume 44 (1)
Association for Computing Machinery – Jan 1, 2012
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