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» Learning to rank for information retrieval
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CIKM
2011
Springer
14 years 6 months ago
S3K: seeking statement-supporting top-K witnesses
Traditional information retrieval techniques based on keyword search help to identify a ranked set of relevant documents, which often contains many documents in the top ranks that...
Steffen Metzger, Shady Elbassuoni, Katja Hose, Ral...
WWW
2011
ACM
15 years 1 months ago
Enhancing web search with entity intent
Web entities, such as documents and hyperlinks, are created for different purposes, or intents. Existing intent-based retrieval methods largely focus on information seekers’ int...
Na Dai, Xiaoguang Qi, Brian D. Davison
HPDC
2003
IEEE
15 years 11 months ago
PlanetP: Using Gossiping to Build Content Addressable Peer-to-Peer Information Sharing Communities
Abstract. We present PlanetP, a peer-to-peer (P2P) content search and retrieval infrastructure targeting communities wishing to share large sets of text documents. P2P computing is...
Francisco Matias Cuenca-Acuna, Christopher Peery, ...
CVPR
2001
IEEE
16 years 8 months ago
Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
Guodong Guo, Anil K. Jain, Wei-Ying Ma, HongJiang ...
CLEF
2009
Springer
15 years 7 months ago
Information Retrieval Baselines for the ResPubliQA Task
This paper describes the baselines proposed for the ResPubliQA 2009 task. These baselines are purely based on information retrieval techniques. The selection of an adequate retrie...
Joaquín Pérez-Iglesias, Guillermo Ga...