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» Learning to rank on graphs
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KDD
2005
ACM
143views Data Mining» more  KDD 2005»
15 years 10 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu
SIGIR
2008
ACM
14 years 9 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
WWW
2005
ACM
15 years 10 months ago
TruRank: taking PageRank to the limit
PageRank is defined as the stationary state of a Markov chain depending on a damping factor that spreads uniformly part of the rank. The choice of is eminently empirical, and in...
Sebastiano Vigna
SIGECOM
2005
ACM
93views ECommerce» more  SIGECOM 2005»
15 years 3 months ago
Ranking systems: the PageRank axioms
This paper initiates research on the foundations of ranking systems, a fundamental ingredient of basic e-commerce and Internet Technologies. In order to understand the essence and...
Alon Altman, Moshe Tennenholtz
APWEB
2006
Springer
15 years 1 months ago
LocalRank: A Prototype for Ranking Web Pages with Database Considering Geographical Locality
In this demo, we present a method called LocalRank to rank web pages. Our method integrates the web and a local user database with semantic links including geographical ones. We fi...
Jianwei Zhang 0002, Yoshiharu Ishikawa, Sayumi Kur...