Adaptive Source Allocation
Adaptive Source Allocation is a federated search strategy that dynamically selects and prioritizes information sources based on evolving query contexts, user feedback, or system performance metrics to optimize retrieval accuracy and efficiency.
6
Publications
236
Citations
16
Authors
11
Institutions
Publications per year
2017–2026
3
Parents
6
Tohren C. G. Kibbey, Rafal Jabrzemski, Denis M. O’Carroll · Chemosphere · 2021 · 46 citations
Computing, Data Science, Data Mining +11
1–5 of 6
16
1
h-index
1
h-index
1
h-index
1
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1
h-index
1–5 of 16
11

NILU
Kjeller, Norway
1 h-index
2 publications
26 citations
University of Oklahoma
Norman, United States
1 h-index
2 publications
92 citations

University of Tehran
Tehran, Iran
1 h-index
2 publications
170 citations

McMaster University
Hamilton, Canada
1 h-index
1 publications
85 citations

Utah State University
Logan, United States
1 h-index
2 publications
26 citations

Chongqing University
Chongqing, China
1 h-index
3 publications
96 citations

Concordia University
Montreal, Canada
1 h-index
1 publications
85 citations
Manly Hospital
Sydney, Australia
1 h-index
1 publications
46 citations
1–8 of 11
1 publications · 85 citations
1
h-index
IJBIS · 1 publications · 47 citations
1
h-index
1 publications · 46 citations
1
h-index
1 publications · 32 citations
1
h-index
1 publications · 13 citations
1
h-index
1–5