Search Intent Detection
Search Intent Detection is a computational framework within web search that identifies the underlying purpose of a user's query by classifying it into distinct categories such as informational, navigational, or transactional, thereby distinguishing it from general query analysis through its focus on inferring user goals.
37
Publications
1.1K
Citations
114
Authors
43
Institutions
Publications per year
2017–2026
11
Parents
37
Intent-based diversification of web search results: metrics and algorithms
Olivier Chapelle, Shihao Ji, Ciya Liao et al. · Information Retrieval · 2011 · 112 citations · Full text
Building taxonomy of web search intents for name entity queries
Xiaoxin Yin, Sarthak Shah · 2010 · 106 citations
Eugene Agichtein, Ryen W. White, Susan Dumais et al. · 2012 · 87 citations
1–5 of 37
114
Simula Metropolitan Center for Digital Engineering, Norway
2 publications · 33 citations
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2
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1–5 of 114
43
Microsoft (United States)
Redmond, United States
9 h-index
18 publications
947 citations
Yahoo (United States)
Sunnyvale, United States
4 h-index
15 publications
667 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
50 citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
2 publications
49 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
3 publications
69 citations
University of Geneva
Geneva, Switzerland
2 h-index
2 publications
33 citations

Kyoto University
Kyoto, Japan
2 h-index
6 publications
120 citations
Simula Research Laboratory
Oslo, Norway
2 h-index
3 publications
51 citations
1–8 of 43
2 publications · 54 citations
2
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IJMIR · 1 publications · 15 citations
1
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1 publications · 37 citations
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1 publications · 15 citations
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1 publications · 112 citations
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