Search Intent Modeling is a computational framework that identifies and classifies the underlying user objectives in information-seeking interactions by analyzing behavioral and contextual signals within search logs.
110
Publications
5.1K
Citations
353
Authors
121
Institutions
Publications per year
2017–2026
39
Publications
110
Generating Clarifying Questions for Information Retrieval
Hamed Zamani, Susan Dumais, Nick Craswell et al. · 2020 · 215 citations · Full text
Zheng-Jun Zha, Linjun Yang, Tao Mei et al. · 2009 · 178 citations
Context-aware query classification
Huanhuan Cao, Derek Hao Hu, Dou Shen et al. · 2009 · 156 citations
1–5 of 110
Authors
353
- ZD
7
h-index
- TR
7
h-index
- SK
6
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- GJ
6
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- DG
5
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1–5 of 353
Institutions
121
Microsoft Research Asia (China)
Beijing, China
15 h-index
53 publications
3.3K citations
Microsoft (United States)
Redmond, United States
13 h-index
37 publications
3.7K citations
Renmin University of China
Beijing, China
10 h-index
27 publications
912 citations
University of Helsinki
Helsinki, Finland
9 h-index
42 publications
1.8K citations
Yahoo (United States)
Sunnyvale, United States
9 h-index
26 publications
963 citations
Chinese Academy of Sciences
Beijing, China
8 h-index
20 publications
934 citations
University of Illinois Urbana-Champaign
Urbana, United States
8 h-index
13 publications
506 citations
Aalto University
Espoo, Finland
8 h-index
30 publications
1.2K citations
1–8 of 121
Venues
- ACM Transactions on Information Systems
4 publications · 136 citations
4
h-index
- IEEE Transactions on Multimedia
2 publications · 97 citations
3
h-index
- Information Retrieval
2 publications · 133 citations
2
h-index
- ACM Transactions on Multimedia Computing Communications and Applications
TOMCCAP · 2 publications · 160 citations
2
h-index
- Journal of Occupational and Organizational Psychology
1 publications · 100 citations
1
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1–5