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» Score Aggregation Techniques in Retrieval Experimentation
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SIGMOD
2011
ACM
234views Database» more  SIGMOD 2011»
12 years 9 months ago
Ranking with uncertain scoring functions: semantics and sensitivity measures
Ranking queries report the top-K results according to a user-defined scoring function. A widely used scoring function is the weighted summation of multiple scores. Often times, u...
Mohamed A. Soliman, Ihab F. Ilyas, Davide Martinen...
CIKM
2006
Springer
13 years 10 months ago
Ranking robustness: a novel framework to predict query performance
In this paper, we introduce the notion of ranking robustness, which refers to a property of a ranked list of documents that indicates how stable the ranking is in the presence of ...
Yun Zhou, W. Bruce Croft
NAR
2011
257views Computer Vision» more  NAR 2011»
12 years 9 months ago
The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored
An essential prerequisite for any systems-level understanding of cellular functions is to correctly uncover and annotate all functional interactions among proteins in the cell. To...
Damian Szklarczyk, Andrea Franceschini, Michael Ku...
ADC
2004
Springer
156views Database» more  ADC 2004»
13 years 11 months ago
Multiresolution Amalgamation: Dynamic Spatial Data Cube Generation
Aggregating spatial objects is a necessary step in generating spatial data cubes to support roll-up/drill-down operations. Current approaches face performance bottleneck issues wh...
Sham Prasher, Xiaofang Zhou
IJON
2008
121views more  IJON 2008»
13 years 6 months ago
Locality sensitive semi-supervised feature selection
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
Jidong Zhao, Ke Lu, Xiaofei He