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94
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CIKM
2008
Springer
15 years 2 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...
108
Voted
IICS
2010
Springer
15 years 4 months ago
Local Aspects of the Global Ranking of Web Pages
Started in 1998, the search engine Google estimates page importance using several parameters. PageRank is one of those. Precisely, PageRank is a distribution of probability on the ...
Fabien Mathieu, Laurent Viennot
107
Voted
CSB
2004
IEEE
126views Bioinformatics» more  CSB 2004»
15 years 4 months ago
Boosted PRIM with Application to Searching for Oncogenic Pathway of Lung Cancer
Boosted PRIM (Patient Rule Induction Method) is a new algorithm developed for two-class classification problems. PRIM is a variation of those Tree-Based methods ( [4] Ch9.3), seek...
Pei Wang, Young Kim, Jonathan R. Pollack, Robert T...
ESA
2010
Springer
161views Algorithms» more  ESA 2010»
15 years 1 months ago
Top-k Ranked Document Search in General Text Databases
Text search engines return a set of k documents ranked by similarity to a query. Typically, documents and queries are drawn from natural language text, which can readily be partiti...
J. Shane Culpepper, Gonzalo Navarro, Simon J. Pugl...
142
Voted
SIGIR
2011
ACM
14 years 3 months ago
A boosting approach to improving pseudo-relevance feedback
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
Yuanhua Lv, ChengXiang Zhai, Wan Chen