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» Magnitude-preserving ranking algorithms
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SIGIR
2008
ACM
14 years 9 months ago
Query dependent ranking using K-nearest neighbor
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existin...
Xiubo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, H...
ALT
2008
Springer
15 years 6 months ago
Smooth Boosting for Margin-Based Ranking
We propose a new boosting algorithm for bipartite ranking problems. Our boosting algorithm, called SoftRankBoost, is a modification of RankBoost which maintains only smooth distri...
Jun-ichi Moribe, Kohei Hatano, Eiji Takimoto, Masa...
WWW
2004
ACM
15 years 10 months ago
Ranking the web frontier
The celebrated PageRank algorithm has proved to be a very effective paradigm for ranking results of web search algorithms. In this paper we refine this basic paradigm to take into...
Nadav Eiron, Kevin S. McCurley, John A. Tomlin
CVPR
2007
IEEE
15 years 11 months ago
A Novel Approach to Improve Biometric Recognition Using Rank Level Fusion
This paper proposes a novel approach for rank level fusion which gives improved performance gain verified by experimental results. In the absence of ranked features and instead of...
Jay Bhatnagar, Ajay Kumar, Nipun Saggar
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