Distributed Query Expansion is a query expansion method that leverages distributed representations of terms or documents in a continuous vector space to identify and incorporate semantically related expansion terms based on their geometric proximity.
11
Publications
400
Citations
32
Authors
11
Institutions
Publications per year
2017–2026
2
Parents
Publications
11
Using Word Embeddings for Automatic Query Expansion
Dwaipayan Roy, Debjyoti Paul, Mandar Mitra et al. · arXiv (Cornell University) · 2016 · 86 citations · Full text
Making Search Efficient on Gnutella-Like P2P Systems
Yingwu Zhu, Xiaoyu Yang, Yiming Hu · 2005 · 41 citations
1–5 of 11
Authors
32
- SM
2
h-index
- XR
2
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- XS
2
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- SL
2
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- YH
2
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1–5 of 32
Institutions
11
University of Cincinnati
Cincinnati, United States
2 h-index
4 publications
171 citations
Yahoo (United States)
Sunnyvale, United States
1 h-index
4 publications
96 citations
Beijing Institute of Big Data Research
Beijing, China
1 h-index
1 publications
67 citations
Peking University
Beijing, China
1 h-index
5 publications
335 citations
The University of Texas at Dallas
Richardson, United States
1 h-index
4 publications
48 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
2 publications
44 citations
The University of Tokyo
Tokyo, Japan
1 h-index
4 publications
136 citations
Queens College, CUNY
New York, United States
1 h-index
1 publications
12 citations
1–8 of 11
Venues
- arXiv (Cornell University)
Repository · 2 publications · 102 citations
2
h-index
- IEEE Transactions on Parallel and Distributed Systems
TPDS · 1 publications · 48 citations
1
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1–2