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» On the Consistency of Ranking Algorithms
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WWW
2007
ACM
14 years 8 months ago
Automatic searching of tables in digital libraries
Tables are ubiquitous. Unfortunately, no search engine supports table search. In this paper, we propose a novel table specific searching engine, TableSeer, to facilitate the table...
Ying Liu, Kun Bai, Prasenjit Mitra, C. Lee Giles
RECSYS
2010
ACM
13 years 8 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
SIGECOM
2010
ACM
154views ECommerce» more  SIGECOM 2010»
14 years 29 days ago
Ranking games that have competitiveness-based strategies
This paper studies —from the perspective of efficient computation— a type of competition that is widespread throughout the plant and animal kingdoms, higher education, politic...
Leslie Ann Goldberg, Paul W. Goldberg, Piotr Kryst...
BMCBI
2010
138views more  BMCBI 2010»
13 years 8 months ago
UFFizi: a generic platform for ranking informative features
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
Assaf Gottlieb, Roy Varshavsky, Michal Linial, Dav...
ICCV
2011
IEEE
12 years 8 months ago
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
Guangcan Liu, Shuicheng Yan