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» Methods for comparing rankings of search engine results
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MIR
2010
ACM
207views Multimedia» more  MIR 2010»
14 years 12 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
112
Voted
HICSS
2005
IEEE
188views Biometrics» more  HICSS 2005»
15 years 7 months ago
Consumer Search Behavior in Online Shopping Environments
This paper explores search behavior of online shoppers. Information economics literature suggests that search cost in electronic markets has essentially been reduced to zero as co...
Nanda Kumar, Karl Reiner Lang, Qian Peng
WEBI
2009
Springer
15 years 8 months ago
Rank Aggregation Based Text Feature Selection
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
Ou Wu, Haiqiang Zuo, Mingliang Zhu, Weiming Hu, Ju...
BMCBI
2008
130views more  BMCBI 2008»
15 years 1 months ago
A database of phylogenetically atypical genes in archaeal and bacterial genomes, identified using the DarkHorse algorithm
Background: The process of horizontal gene transfer (HGT) is believed to be widespread in Bacteria and Archaea, but little comparative data is available addressing its occurrence ...
Sheila Podell, Terry Gaasterland, Eric E. Allen
CORR
2010
Springer
64views Education» more  CORR 2010»
15 years 1 months ago
A Trustability Metric for Code Search based on Developer Karma
The promise of search-driven development is that developers will save time and resources by reusing external code in their local projects. To efficiently integrate this code, user...
Florian S. Gysin, Adrian Kuhn