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research
Deriving query suggestions for site search
Authors
Albakour
Albakour
+36 more
Albakour
Baeza-Yates
Baeza-Yates
Beitzel
Belkin
Chau
Clark
Di Caro
Dorigo
Dumais
Efthimiadis
Fonseca
Gayo-Avello
Hawking
Jansen
Jansen
Jansen
Jansen
Joachims
Justeson
Kruschwitz
Kruschwitz
Kruschwitz
Kruschwitz
Kruschwitz
Manning
Marchionini
Markey
Martens
Ruthven
Silvestri
Socha
Tunkelang
Wang
White
White
Publication date
1 January 2013
Publisher
'Wiley'
Doi
Cite
Abstract
Modern search engines have been moving away from simplistic interfaces that aimed at satisfying a user's need with a single-shot query. Interactive features are now integral parts of web search engines. However, generating good query modification suggestions remains a challenging issue. Query log analysis is one of the major strands of work in this direction. Although much research has been performed on query logs collected on the web as a whole, query log analysis to enhance search on smaller and more focused collections has attracted less attention, despite its increasing practical importance. In this article, we report on a systematic study of different query modification methods applied to a substantial query log collected on a local website that already uses an interactive search engine. We conducted experiments in which we asked users to assess the relevance of potential query modification suggestions that have been constructed using a range of log analysis methods and different baseline approaches. The experimental results demonstrate the usefulness of log analysis to extract query modification suggestions. Furthermore, our experiments demonstrate that a more fine-grained approach than grouping search requests into sessions allows for extraction of better refinement terms from query log files. © 2013 ASIS&T
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University of Essex Research Repository
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Last time updated on 14/09/2013
Crossref
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info:doi/10.1002%2Fasi.22901
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oai:oro.open.ac.uk:35792
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