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CIKM
2009
Springer
14 years 3 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
WWW
2002
ACM
14 years 9 months ago
Probabilistic query expansion using query logs
Query expansion has long been suggested as an effective way to resolve the short query and word mismatching problems. A number of query expansion methods have been proposed in tra...
Hang Cui, Ji-Rong Wen, Jian-Yun Nie, Wei-Ying Ma
BMCBI
2008
87views more  BMCBI 2008»
13 years 8 months ago
Volume-based solvation models out-perform area-based models in combined studies of wild-type and mutated protein-protein interfa
Background: Empirical binding models have previously been investigated for the energetics of protein complexation (G models) and for the influence of mutations on complexation (i....
Salim Bougouffa, Jim Warwicker
IPM
2007
99views more  IPM 2007»
13 years 8 months ago
Percent perfect performance (PPP)
An information retrieval performance measure that is interpreted as the percent of perfect performance (PPP) can be used to study the effects of the inclusion of specific documen...
Robert M. Losee
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
14 years 1 months ago
Separating Structure from Interestingness
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Taneli Mielikäinen