Rank Fusion is a probabilistic retrieval technique that combines ranked lists of documents from multiple retrieval models into a single unified ranking by weighting or aggregating their individual scores to improve overall retrieval effectiveness.
77
Publications
4.1K
Citations
191
Authors
99
Institutions
Publications per year
2017–2026
29
Publications
77
Automatic Combination of Multiple Ranked Retrieval Systems
1994 · 259 citations
M. Elena Renda, Umberto Straccia · 2003 · 192 citations
1–5 of 77
Authors
191
- ML
8
h-index
- AK
3
h-index
- JM
2
h-index
- RS
2
h-index
- SS
2
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1–5 of 191
Institutions
99
University of Calgary
Calgary, Canada
9 h-index
21 publications
980 citations
Google (United States)
Mountain View, United States
3 h-index
7 publications
810 citations
Jadavpur University
Kolkata, India
3 h-index
9 publications
1K citations
Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
6 publications
474 citations
RMIT University
Melbourne, Australia
2 h-index
5 publications
148 citations
University of Maryland, College Park
College Park, United States
2 h-index
2 publications
211 citations
University of Fukui
Fukui-shi, Japan
2 h-index
2 publications
33 citations
Centre for Development of Advanced Computing
Pune, India
2 h-index
3 publications
66 citations
1–8 of 99
Venues
- ACM Transactions on Information Systems
3 publications · 123 citations
3
h-index
- Information Fusion
3 publications · 145 citations
3
h-index
- Text REtrieval Conference
Conference · 2 publications · 22 citations
2
h-index
- Scientific Reports
2 publications · 288 citations
2
h-index
- Pattern Recognition Letters
2 publications · 43 citations
2
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1–5