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» Learning to rank on graphs
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ICPR
2010
IEEE
15 years 7 days ago
Topic-Sensitive Tag Ranking
Social tagging is an increasingly popular way to describe and classify documents on the web. However, the quality of the tags varies considerably since the tags are authored freel...
Yan'An Jin, Ruixuan Li, Zhengding Lu, Kunmei Wen, ...
JMLR
2008
111views more  JMLR 2008»
14 years 9 months ago
Ranking Categorical Features Using Generalization Properties
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
Sivan Sabato, Shai Shalev-Shwartz
DM
2006
86views more  DM 2006»
14 years 9 months ago
Minimal rankings and the arank number of a path
Given a graph G, a function f : V (G) {1, 2, . . . , k} is a k-ranking of G if f (u) = f (v) implies every u - v path contains a vertex w such that f (w) > f (u). A k-ranking ...
Victor Kostyuk, Darren A. Narayan, Victoria A. Wil...
ATAL
2007
Springer
15 years 4 months ago
Incentive compatible ranking systems
Ranking systems are a fundamental ingredient of multi-agent environments and Internet Technologies. These settings can be viewed as social choice settings with two distinguished p...
Alon Altman, Moshe Tennenholtz
IM
2007
14 years 9 months ago
PageRank of Scale-Free Growing Networks
PageRank is one of the principle criteria according to which Google ranks Web pages. PageRank can be interpreted as a frequency of Web page visits by a random surfer and thus it r...
Konstantin Avrachenkov, Dmitri Lebedev