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» Methods for comparing rankings of search engine results
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CODES
2005
IEEE
15 years 3 months ago
Comparing two testbench methods for hierarchical functional verification of a bluetooth baseband adaptor
The continuous improvement on the design methodologies and processes has made possible the creation of huge and very complex digital systems. Design verification is one of the mai...
Edgar L. Romero, Marius Strum, Wang Jiang Chau
IPPS
2007
IEEE
15 years 4 months ago
A Comparative Study of Parallel Metaheuristics for Protein Structure Prediction on the Computational Grid
A comparative study of parallel metaheuristics executed in grid environments is proposed, having as case study a genetic algorithm, a simulated annealing algorithm and a random se...
Alexandru-Adrian Tantar, Nouredine Melab, El-Ghaza...
ECIR
2010
Springer
14 years 7 months ago
Maximum Margin Ranking Algorithms for Information Retrieval
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...
Shivani Agarwal, Michael Collins
CIKM
2009
Springer
15 years 4 months ago
A general magnitude-preserving boosting algorithm for search ranking
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang...
SIGIR
2004
ACM
15 years 3 months ago
Learning effective ranking functions for newsgroup search
Web communities are web virtual broadcasting spaces where people can freely discuss anything. While such communities function as discussion boards, they have even greater value as...
Wensi Xi, Jesper Lind, Eric Brill