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» Comparing relevance feedback algorithms for web search
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CIKM
2005
Springer
14 years 1 months ago
Mining officially unrecognized side effects of drugs by combining web search and machine learning
We consider the problem of finding officially unrecognized side effects of drugs. By submitting queries to the Web involving a given drug name, it is possible to retrieve pages co...
Carlo Curino, Yuanyuan Jia, Bruce Lambert, Patrici...
CIKM
2010
Springer
13 years 6 months ago
Exploiting site-level information to improve web search
Ranking Web search results has long evolved beyond simple bag-of-words retrieval models. Modern search engines routinely employ machine learning ranking that relies on exogenous r...
Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josif...
WSDM
2009
ACM
112views Data Mining» more  WSDM 2009»
14 years 2 months ago
Finding text reuse on the web
With the overwhelming number of reports on similar events originating from different sources on the web, it is often hard, using existing web search paradigms, to find the origi...
Michael Bendersky, W. Bruce Croft
CNSR
2007
IEEE
128views Communications» more  CNSR 2007»
14 years 2 months ago
A Novel Approach for Frequent Phrase Mining in Web Search Engine Query Streams
In this paper, conceptual frequency rate, a new frequency definition suitable for query stream mining, is introduced. An online single-pass algorithm called OFSD (Online Frequent...
M. Barouni-Ebrahimi, Ali A. Ghorbani
WWW
2004
ACM
14 years 8 months ago
Unsupervised learning of soft patterns for generating definitions from online news
Breaking news often contains timely definitions and descriptions of current terms, organizations and personalities. We utilize such web sources to construct definitions for such t...
Hang Cui, Min-Yen Kan, Tat-Seng Chua