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MP
2011
10 years 6 months ago
Statistical ranking and combinatorial Hodge theory
We propose a number of techniques for obtaining a global ranking from data that may be incomplete and imbalanced — characteristics that are almost universal to modern datasets co...
Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
WAOA
2010
Springer
275views Algorithms» more  WAOA 2010»
10 years 9 months ago
Online Ranking for Tournament Graphs
We study the problem of producing a global ranking of items given pairwise ranking information, when the items to be ranked arrive in an online fashion. We study both the maximizat...
Claire Mathieu, Adrian Vladu
CORR
2008
Springer
116views Education» more  CORR 2008»
10 years 11 months ago
Learning to rank with combinatorial Hodge theory
Abstract. We propose a number of techniques for learning a global ranking from data that may be incomplete and imbalanced -- characteristics that are almost universal to modern dat...
Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
NIPS
2008
11 years 1 months ago
Global Ranking Using Continuous Conditional Random Fields
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
APWEB
2003
Springer
11 years 4 months ago
A Framework for Decentralized Ranking in Web Information Retrieval
Search engines are among the most important applications or services on the web. Most existing successful search engines use global ranking algorithms to generate the ranking of do...
Karl Aberer, Jie Wu
IICS
2005
Springer
11 years 5 months ago
Distributed Calculation of PageRank Using Strongly Connected Components
We provide an approach to distribute the calculation of PageRank, by splitting the graph into its strongly connected components. As we prove, the global ranking may be calculated c...
Michael Brinkmeier
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