Query Understanding is a scholarly method within the field of information retrieval that specifically identifies and interprets the semantic intent and contextual meaning behind user queries to improve relevance in enterprise, interactive, and web search environments.
195
Publications
10.4K
Citations
542
Authors
233
Institutions
Publications per year
2017–2026
49
Publications
195
Understanding user's query intent with wikipedia
Jian Hu, Gang Wang, Frederick H. Lochovsky et al. · 2009 · 313 citations
CodeHow: Effective Code Search Based on API Understanding and Extended Boolean Model (E)
Fei Lv, Hongyu Zhang, Jian–Guang Lou et al. · 2015 · 258 citations
1–5 of 195
Authors
542
- JW
4
h-index
- WB
4
h-index
- EY
4
h-index
- AR
3
h-index
- AF
3
h-index
1–5 of 542
Institutions
233
Microsoft (United States)
Redmond, United States
17 h-index
46 publications
2.1K citations
Microsoft Research Asia (China)
Beijing, China
10 h-index
24 publications
3.1K citations
University of Massachusetts Amherst
Amherst Center, United States
7 h-index
19 publications
723 citations
Yahoo (United States)
Sunnyvale, United States
6 h-index
14 publications
495 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
11 publications
658 citations
Huazhong University of Science and Technology
Wuhan, China
4 h-index
8 publications
337 citations
University of Washington
Seattle, United States
4 h-index
8 publications
348 citations
Stanford University
Stanford, United States
4 h-index
4 publications
155 citations
1–8 of 233
Venues
- Information Processing & Management
19 publications · 763 citations
16
h-index
- arXiv (Cornell University)
Repository · 5 publications · 172 citations
5
h-index
- Proceedings of the VLDB Endowment
PVLDB · 3 publications · 130 citations
3
h-index
- Knowledge-Based Systems
2 publications · 49 citations
2
h-index
- The VLDB Journal
2 publications · 79 citations
2
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1–5