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SIGIR
2009
ACM
15 years 4 months ago
Spam filter evaluation with imprecise ground truth
When trained and evaluated on accurately labeled datasets, online email spam filters are remarkably effective, achieving error rates an order of magnitude better than classifie...
Gordon V. Cormack, Aleksander Kolcz
SIGIR
2009
ACM
15 years 4 months ago
An improved markov random field model for supporting verbose queries
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
Matthew Lease
SIGIR
2009
ACM
15 years 4 months ago
Effective query expansion for federated search
While query expansion techniques have been shown to improve retrieval performance in a centralized setting, they have not been well studied in a federated setting. In this paper, ...
Milad Shokouhi, Leif Azzopardi, Paul Thomas
SIGIR
2009
ACM
15 years 4 months ago
Score adjustment for correction of pooling bias
Information retrieval systems are evaluated against test collections of topics, documents, and assessments of which documents are relevant to which topics. Documents are chosen fo...
William Webber, Laurence A. F. Park
SIGIR
2009
ACM
15 years 4 months ago
On rank correlation and the distance between rankings
Rank correlation statistics are useful for determining whether a there is a correspondence between two measurements, particularly when the measures themselves are of less interest...
Ben Carterette