Context-aware Search
Context-Aware Search is a personalized search paradigm that extends conventional information retrieval by dynamically adapting results based on the user's situational, environmental, and behavioral context, such as location, time, device, and social interactions.
374
Publications
17.6K
Citations
1.1K
Authors
338
Institutions
Publications per year
2017–2026
57
Parents
374
Placing search in context: the concept revisited.
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias et al. · 2002 · 935 citations
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias et al. · 2001 · 863 citations
The perfect search engine is not enough
Jaime Teevan, Christine Alvarado, Mark S. Ackerman et al. · 2004 · 543 citations
Context-aware query suggestion by mining click-through and session data
Huanhuan Cao, Daxin Jiang, Jian Pei et al. · 2008 · 462 citations
1–5 of 374
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338
Microsoft (United States)
Redmond, United States
16 h-index
44 publications
3.2K citations
Microsoft Research Asia (China)
Beijing, China
10 h-index
22 publications
2.3K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
24 publications
1.2K citations

Renmin University of China
Beijing, China
10 h-index
22 publications
637 citations
Google (United States)
Mountain View, United States
9 h-index
18 publications
748 citations
Tsinghua University
Beijing, China
9 h-index
25 publications
381 citations
University of Science and Technology of China
Hefei, China
8 h-index
18 publications
2K citations
IBM (United States)
Armonk, United States
7 h-index
16 publications
565 citations
1–8 of 338
6 publications · 249 citations
6
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6 publications · 502 citations
6
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TKDE · 5 publications · 194 citations
5
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Repository · 4 publications · 78 citations
4
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4 publications · 116 citations
4
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1–5