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» Maximum Margin Ranking Algorithms for Information Retrieval
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 8 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
CIKM
2011
Springer
12 years 7 months ago
Improved answer ranking in social question-answering portals
Community QA portals provide an important resource for non-factoid question-answering. The inherent noisiness of user-generated data makes the identification of high-quality cont...
Felix Hieber, Stefan Riezler
ERCIMDL
2010
Springer
133views Education» more  ERCIMDL 2010»
13 years 8 months ago
German Encyclopedia Alignment Based on Information Retrieval Techniques
Collaboratively created online encyclopedias have become increasingly popular. Especially in terms of completeness they have begun to surpass their printed counterparts. Two German...
Roman Kern, Michael Granitzer
KDD
2012
ACM
186views Data Mining» more  KDD 2012»
11 years 10 months ago
Maximum inner-product search using cone trees
The problem of efficiently finding the best match for a query in a given set with respect to the Euclidean distance or the cosine similarity has been extensively studied. However...
Parikshit Ram, Alexander G. Gray
HICSS
2010
IEEE
166views Biometrics» more  HICSS 2010»
14 years 2 months ago
Spatial Variation in Search Engine Results
Geographic information retrieval (GIR) is, as a branch of traditional information retrieval, a discipline that tries to enrich data with geographical information to make it suitab...
David Noack