Adaptive Query Expansion
Adaptive Query Expansion is a query refinement technique in information retrieval that dynamically augments the original query with additional terms selected from relevant documents identified through user feedback, distinguishing itself by iteratively adjusting the expansion strategy based on relevance judgments to improve retrieval performance.
66
Publications
3.1K
Citations
198
Authors
89
Institutions
Publications per year
2017–2026
12
Parents
66
Personalized query expansion for the web
Paul - Alexandru Chirita, Claudiu S. Firan, Wolfgang Nejdl · 2007 · 290 citations
Retrieval and feedback models for blog feed search
Jonathan L. Elsas, Jaime Arguello, Jamie Callan et al. · 2008 · 140 citations
1–5 of 66
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University of Sciences and Technology Houari Boumediene, Algeria
2 publications · 64 citations
2
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1–5 of 198
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University of Glasgow
Glasgow, United Kingdom
5 h-index
9 publications
590 citations
Microsoft (United States)
Redmond, United States
3 h-index
3 publications
203 citations
Indian Institute of Technology Dhanbad
Dhanbad, India
3 h-index
7 publications
114 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
2 publications
113 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
2 h-index
6 publications
261 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
2 publications
168 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
4 publications
161 citations

University of Sciences and Technology Houari Boumediene
Algiers, Algeria
2 h-index
4 publications
128 citations
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7 publications · 685 citations
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Conference · 3 publications · 80 citations
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3 publications · 167 citations
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2 publications · 63 citations
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2 publications · 77 citations
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