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» Swarming to rank for information retrieval
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WWW
2010
ACM
13 years 9 months ago
Classification-enhanced ranking
Many have speculated that classifying web pages can improve a search engine's ranking of results. Intuitively results should be more relevant when they match the class of a q...
Paul N. Bennett, Krysta Marie Svore, Susan T. Duma...
CIKM
2009
Springer
14 years 3 months ago
Relying on topic subsets for system ranking estimation
Ranking a number of retrieval systems according to their retrieval effectiveness without relying on costly relevance judgments was first explored by Soboroff et al [6]. Over th...
Claudia Hauff, Djoerd Hiemstra, Franciska de Jong,...
SIGIR
2012
ACM
11 years 11 months ago
Robust ranking models via risk-sensitive optimization
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompso...
ICSE
2012
IEEE-ACM
11 years 11 months ago
Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports
—For a large and evolving software system, the project team could receive a large number of bug reports. Locating the source code files that need to be changed in order to fix th...
Jian Zhou, Hongyu Zhang, David Lo
WWW
2007
ACM
14 years 9 months ago
Supervised rank aggregation
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...
Yu-Ting Liu, Tie-Yan Liu, Tao Qin, Zhiming Ma, Han...