Uncertain Query Retrieval
Uncertain Query Retrieval is a probabilistic information retrieval framework that models query term uncertainty by integrating likelihood distributions over possible query interpretations to rank documents according to their probability of relevance under ambiguous or incomplete query conditions.
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135
Citations
21
Authors
8
Institutions
Publications per year
2017–2026
2
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5
QPIAD: Query Processing over Incomplete Autonomous Databases
Hemal Khatri, Jianchun Fan, Yi Chen et al. · 2007 · 26 citations
Probabilistic skyline queries on uncertain time series
Guoliang He, Lu Chen, Chen Zeng et al. · Neurocomputing · 2016 · 22 citations
Recency ranking by diversification of result set
Andrey Styskin, Fedor Romanenko, Fedor Vorobyev et al. · 2011 · 16 citations · Full text
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SUNY New Paltz
New Paltz, United States
1 h-index
2 publications
70 citations

Hunan University
Changsha, China
1 h-index
6 publications
210 citations

Hubei University
Wuhan, China
1 h-index
1 publications
22 citations
Arizona State University
Tempe, United States
1 h-index
4 publications
104 citations
Wuhan University
Wuhan, China
1 h-index
4 publications
88 citations
Yandex (Russia)
Moscow, Russia
1 h-index
4 publications
64 citations
Singapore Management University
Singapore, Singapore
1 h-index
1 publications
36 citations

Southern University of Science and Technology
Shenzhen, China
1 h-index
1 publications
36 citations
1–8 of 8
1 publications · 35 citations
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1 publications · 22 citations
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PVLDB · 1 publications · 36 citations
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