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» Magnitude-preserving ranking algorithms
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IPMU
2010
Springer
13 years 2 months ago
Rank Correlation Coefficient Correction by Removing Worst Cases
Abstract. Rank correlation can be used to compare two linearly ordered rankings. If the rankings include noise values, the rank correlation coefficient will yield lower values than...
Martin Krone, Frank Klawonn
WWW
2004
ACM
14 years 5 months ago
Random surfer with back step
We present a novel link-based ranking algorithm RBS, which may be viewed as an extension of PageRank by back-step feature. Categories and Subject Descriptors H.3.3 [Information Se...
Marcin Sydow
COLT
2005
Springer
13 years 10 months ago
Stability and Generalization of Bipartite Ranking Algorithms
The problem of ranking, in which the goal is to learn a real-valued ranking function that induces a ranking or ordering over an instance space, has recently gained attention in mac...
Shivani Agarwal, Partha Niyogi
ECML
2007
Springer
13 years 11 months ago
An Unsupervised Learning Algorithm for Rank Aggregation
Many applications in information retrieval, natural language processing, data mining, and related fields require a ranking of instances with respect to a specified criteria as op...
Alexandre Klementiev, Dan Roth, Kevin Small
MANSCI
2006
121views more  MANSCI 2006»
13 years 4 months ago
Methodologies and Algorithms for Group-Rankings Decision
The problem of group ranking, a.k.a. rank aggregation, has been studied in contexts varying from sports, to multi-criteria decision making, to machine learning, to ranking web pag...
Dorit S. Hochbaum, Asaf Levin