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» Inductive Databases as Ranking
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110
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IJCAI
2007
15 years 2 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci
140
Voted
CVPR
2011
IEEE
14 years 8 months ago
Noise Resistant Graph Ranking for Improved Web Image Search
In this paper, we exploit a novel ranking mechanism that processes query samples with noisy labels, motivated by the practical application of web image search re-ranking where the...
Wei Liu, Yu-Gang Jiang, Jiebo Luo, Shih-Fu Chang
60
Voted
CIKM
2009
Springer
15 years 7 months ago
Relying on topic subsets for system ranking estimation
Ranking a number of retrieval systems according to their retrieval effectiveness without relying on costly relevance judgments was first explored by Soboroff et al [6]. Over th...
Claudia Hauff, Djoerd Hiemstra, Franciska de Jong,...
114
Voted
CIKM
2009
Springer
15 years 7 months ago
A general magnitude-preserving boosting algorithm for search ranking
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang...
SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
15 years 2 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan