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» Comparing relevance feedback algorithms for web search
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WSDM
2009
ACM
172views Data Mining» more  WSDM 2009»
14 years 2 months ago
Clustering the tagged web
Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale soc...
Daniel Ramage, Paul Heymann, Christopher D. Mannin...
CIKM
2011
Springer
12 years 8 months ago
Probabilistic near-duplicate detection using simhash
This paper offers a novel look at using a dimensionalityreduction technique called simhash [8] to detect similar document pairs in large-scale collections. We show that this algo...
Sadhan Sood, Dmitri Loguinov
BMCBI
2010
152views more  BMCBI 2010»
13 years 8 months ago
FITBAR: a web tool for the robust prediction of prokaryotic regulons
Background: The binding of regulatory proteins to their specific DNA targets determines the accurate expression of the neighboring genes. The in silico prediction of new binding s...
Jacques Oberto
MM
2009
ACM
137views Multimedia» more  MM 2009»
14 years 2 months ago
Lightweight web image reranking
Web image search is inspired by text search techniques; it mainly relies on indexing textual data that surround the image file. But retrieval results are often noisy and image pro...
Adrian Popescu, Pierre-Alain Moëllic, Ioannis...
CIKM
2008
Springer
13 years 10 months ago
Trada: tree based ranking function adaptation
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, La...