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WWW
2011
ACM
13 years 4 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...
BMCBI
2011
13 years 1 months ago
Extracting scientific articles from a large digital archive: BioStor and the Biodiversity Heritage Library
Background: The Biodiversity Heritage Library (BHL) is a large digital archive of legacy biological literature, comprising over 31 million pages scanned from books, monographs, an...
Roderic D. M. Page
KCAP
2011
ACM
13 years 21 days ago
Multipedia: enriching DBpedia with multimedia information
Enriching knowledge bases with multimedia information makes it possible to complement textual descriptions with visual and audio information. Such complementary information can he...
Andrés García-Silva, Max Jakob, Pabl...
WWW
2004
ACM
14 years 10 months ago
Web-scale information extraction in knowitall: (preliminary results)
Manually querying search engines in order to accumulate a large body of factual information is a tedious, error-prone process of piecemeal search. Search engines retrieve and rank...
Oren Etzioni, Michael J. Cafarella, Doug Downey, S...
ICTAI
2009
IEEE
14 years 4 months ago
Preventing Unwanted Social Inferences with Classification Tree Analysis
A serious threat to user privacy in new mobile and web2.0 applications stems from ‘social inferences’. These unwanted inferences are related to the users’ identity, current ...
Sara Motahari, Sotirios G. Ziavras, Quentin Jones