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» Learning to rank with multiple objective functions
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SIGMOD
2001
ACM
108views Database» more  SIGMOD 2001»
15 years 11 months ago
PREFER: A System for the Efficient Execution of Multi-parametric Ranked Queries
Users often need to optimize the selection of objects by appropriately weighting the importance of multiple object attributes. Such optimization problems appear often in operation...
Vagelis Hristidis, Nick Koudas, Yannis Papakonstan...
SIGIR
2004
ACM
15 years 5 months ago
A joint framework for collaborative and content filtering
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
Justin Basilico, Thomas Hofmann
87
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ICSM
2006
IEEE
15 years 5 months ago
Using the Case-Based Ranking Methodology for Test Case Prioritization
The test case execution order affects the time at which the objectives of testing are met. If the objective is fault detection, an inappropriate execution order might reveal most ...
Paolo Tonella, Paolo Avesani, Angelo Susi
PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
15 years 6 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
ICCV
2011
IEEE
13 years 11 months ago
Relative Attributes
Human-nameable visual “attributes” can benefit various recognition tasks. However, existing techniques restrict these properties to categorical labels (for example, a person ...
Devi Parikh, Kristen Grauman