Sciweavers

2100 search results - page 47 / 420
» Learning to rank on graphs
Sort
View
ICDE
2008
IEEE
168views Database» more  ICDE 2008»
15 years 4 months ago
Index Design for Dynamic Personalized PageRank
Personalized PageRank, related to random walks with restarts and conductance in resistive networks, is a frequent search paradigm for graph-structured databases. While efficient ba...
Amit Pathak, Soumen Chakrabarti, Manish S. Gupta
ICML
2007
IEEE
15 years 10 months ago
Learning to rank: from pairwise approach to listwise approach
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Han...
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
15 years 10 months ago
Simple and effective visual models for gene expression cancer diagnostics
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupa...
ECTEL
2007
Springer
15 years 3 months ago
Relevance Ranking Metrics for Learning Objects
— The main objetive of this paper is to improve the current status of learning object search. First, the current situation is analyzed and a theretical solution, based on relevan...
Xavier Ochoa, Erik Duval
SPIRE
2010
Springer
14 years 8 months ago
Querying the Web Graph - (Invited Talk)
This paper focuses on using hyperlinks in the ranking of web search results. We give a brief overview of the vast body of work in the area; we provide a quantitative comparison of ...
Marc Najork