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SIGIR
2006
ACM
14 years 1 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
SIGIR
2010
ACM
13 years 2 months ago
PRES: a score metric for evaluating recall-oriented information retrieval applications
Information retrieval (IR) evaluation scores are generally designed to measure the effectiveness with which relevant documents are identified and retrieved. Many scores have been ...
Walid Magdy, Gareth J. F. Jones
ICSM
2007
IEEE
14 years 2 months ago
JTourBus: Simplifying Program Understanding by Documentation that Provides Tours Through the Source Code
Many small and medium-sized systems have little or no design documentation, which makes program understanding during maintenance enormously more difficult when performed by outsi...
Christopher Oezbek, Lutz Prechelt
SIGIR
2003
ACM
14 years 28 days ago
Quantitative evaluation of passage retrieval algorithms for question answering
Passage retrieval is an important component common to many question answering systems. Because most evaluations of question answering systems focus on end-to-end performance, comp...
Stefanie Tellex, Boris Katz, Jimmy J. Lin, Aaron F...
SIGIR
2005
ACM
14 years 1 months ago
On evaluation of adaptive topic tracking systems
Summative evaluation methods for supervised adaptive topic tracking systems convolve the effect of system decisions on present utility with the effect on future utility. This pa...
Tamer Elsayed, Douglas W. Oard