Online Ranking
Online Ranking is a computational framework within the broader class of ranking problems that dynamically assigns relevance scores to items in real time as new data points sequentially arrive, distinguishing itself from offline approaches by requiring immediate, irrevocable ranking decisions without access to the complete dataset in advance.
227
Publications
15.6K
Citations
712
Authors
271
Institutions
Publications per year
2017–2026
84
Parents
227
Rank aggregation methods for the Web
Cynthia Dwork, Ravi Kumar, Moni Naor et al. · 2001 · 1.8K citations
Large Scale Online Learning of Image Similarity through Ranking
Gal Chechik, Varun Sharma, Uri Shalit et al. · Lecture notes in computer science · 2009 · 573 citations
Learning diverse rankings with multi-armed bandits
Filip Radlinski, Robert Kleinberg, Thorsten Joachims · 2008 · 518 citations
The predictive power of online chatter
Daniel Gruhl, Ramanathan V. Guha, Ravi Kumar et al. · 2005 · 412 citations
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271

University of Amsterdam
Amsterdam, The Netherlands
14 h-index
41 publications
2.7K citations
Amsterdam University of the Arts
Amsterdam, The Netherlands
12 h-index
33 publications
1.8K citations
Tsinghua University
Beijing, China
9 h-index
23 publications
1.1K citations
Google (United States)
Mountain View, United States
8 h-index
11 publications
2.4K citations
Yahoo (United States)
Sunnyvale, United States
7 h-index
25 publications
1.3K citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
10 publications
759 citations
Microsoft (United States)
Redmond, United States
6 h-index
10 publications
772 citations
Hebrew University of Jerusalem
Jerusalem, Israel
5 h-index
9 publications
1.3K citations
1–8 of 271
Repository · 13 publications · 459 citations
11
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4 publications · 151 citations
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PVLDB · 4 publications · 169 citations
4
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3 publications · 239 citations
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3 publications · 248 citations
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