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WWW
2011
ACM
13 years 2 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
CIKM
2011
Springer
12 years 7 months ago
Focusing on novelty: a crawling strategy to build diverse language models
Word prediction performed by language models has an important role in many tasks as e.g. word sense disambiguation, speech recognition, hand-writing recognition, query spelling an...
Luciano Barbosa, Srinivas Bangalore
DASFAA
2010
IEEE
190views Database» more  DASFAA 2010»
13 years 11 months ago
k-Selection Query over Uncertain Data
This paper studies a new query on uncertain data, called k-selection query. Given an uncertain dataset of N objects, where each object is associated with a preference score and a p...
Xingjie Liu, Mao Ye, Jianliang Xu, Yuan Tian, Wang...
EDBT
2009
ACM
134views Database» more  EDBT 2009»
13 years 11 months ago
Caching content-based queries for robust and efficient image retrieval
In order to become an effective complement to traditional Web-scale text-based image retrieval solutions, content-based image retrieval must address scalability and efficiency iss...
Fabrizio Falchi, Claudio Lucchese, Salvatore Orlan...
SIGMOD
2010
ACM
250views Database» more  SIGMOD 2010»
13 years 8 months ago
Expressive and flexible access to web-extracted data: a keyword-based structured query language
Automated extraction of structured data from Web sources often leads to large heterogeneous knowledge bases (KB), with data and schema items numbering in the hundreds of thousands...
Jeffrey Pound, Ihab F. Ilyas, Grant E. Weddell