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» Learning to rank on graphs
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COLT
2010
Springer
14 years 7 months ago
Ranking with Kernels in Fourier space
Risi Imre Kondor, Marconi S. Barbosa
ITA
2006
163views Communications» more  ITA 2006»
14 years 9 months ago
Graph fibrations, graph isomorphism, and PageRank
PageRank is a ranking method that assigns scores to web pages using the limit distribution of a random walk on the web graph. A fibration of graphs is a morphism that is a local i...
Paolo Boldi, Violetta Lonati, Massimo Santini, Seb...
SIAMDM
2008
115views more  SIAMDM 2008»
14 years 9 months ago
Rank-Width and Well-Quasi-Ordering
Robertson and Seymour (1990) proved that graphs of bounded tree-width are well-quasi-ordered by the graph minor relation. By extending their arguments, Geelen, Gerards, and Whittle...
Sang-il Oum
89
Voted
CIKM
2009
Springer
15 years 4 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
VLDB
2007
ACM
229views Database» more  VLDB 2007»
15 years 3 months ago
Sum-Max Monotonic Ranked Joins for Evaluating Top-K Twig Queries on Weighted Data Graphs
In many applications, the underlying data (the web, an XML document, or a relational database) can be seen as a graph. These graphs may be enriched with weights, associated with t...
Yan Qi 0002, K. Selçuk Candan, Maria Luisa ...