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» Learning to rank for information retrieval (LR4IR 2008)
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TKDE
1998
184views more  TKDE 1998»
13 years 9 months ago
Supporting Ranked Boolean Similarity Queries in MARS
To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing the Multimedia Analysis and Retrieval System (MARS) 29]...
Michael Ortega, Yong Rui, Kaushik Chakrabarti, Kri...
CLEF
2008
Springer
13 years 11 months ago
Diversity in Image Retrieval: DCU at ImageCLEFPhoto 2008
DCU participated in the ImageCLEF 2008 photo retrieval task, which aimed to evaluate diversity in Image Retrieval, submitting runs for both the English and Random language annotati...
Neil O'Hare, Peter Wilkins, Cathal Gurrin, Eamonn ...
WWW
2010
ACM
14 years 4 months ago
iRIN: image retrieval in image-rich information networks
In this demo, we present a system called iRIN designed for performing image retrieval in image-rich information networks. We first introduce MoK-SimRank to significantly improve...
Xin Jin, Jiebo Luo, Jie Yu, Gang Wang, Dhiraj Josh...
SIGIR
2012
ACM
12 years 6 days ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
SIGIR
2008
ACM
13 years 9 months ago
Learning to rank at query-time using association rules
Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted accordi...
Adriano Veloso, Humberto Mossri de Almeida, Marcos...