Query Drift
Query Drift is a phenomenon in probabilistic retrieval where the semantic content of a query progressively deviates from its original intent due to iterative reformulation or feedback processes, leading to a degradation in retrieval accuracy over successive iterations.
15
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1.3K
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47
Authors
22
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Publications per year
2017–2026
2
15
Improving automatic query expansion
Mandar Mitra, Amit Singhal, Chris Buckley · 1998 · 556 citations
Predicting Query Performance by Query-Drift Estimation
Anna Shtok, Oren Kurland, David Carmel et al. · ACM Transactions on Information Systems · 2012 · 162 citations
Linking online news and social media
Manos Tsagkias, Maarten de Rijke, Wouter Weerkamp · 2011 · 99 citations
Expertise drift and query expansion in expert search
Craig Macdonald, Iadh Ounis · 2007 · 72 citations
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Microsoft (United States)
Redmond, United States
3 h-index
6 publications
160 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
6 publications
738 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
1 h-index
2 publications
128 citations

University of Amsterdam
Amsterdam, The Netherlands
1 h-index
3 publications
297 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
1 publications
14 citations
Université Paris-Sud
Orsay, France
1 h-index
1 publications
13 citations
Oregon State University
Corvallis, United States
1 h-index
1 publications
64 citations

University of Gothenburg
Gothenburg, Sweden
1 h-index
1 publications
16 citations
1–8 of 22
1 publications · 35 citations
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IJSEKE · 1 publications · 11 citations
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PVLDB · 1 publications · 70 citations
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Conference · 1 publications · 27 citations
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1 publications · 162 citations
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