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» Intelligent search techniques for large software systems
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WWW
2011
ACM
14 years 11 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
ATAL
2009
Springer
15 years 11 months ago
agentTool III: from process definition to code generation
The agentTool III (aT3 ) development environment is built on the Eclipse platform and provides traditional model creation tools to support the analysis, design, and implementation...
Juan C. García-Ojeda, Scott A. DeLoach, Rob...
SIGCOMM
2009
ACM
15 years 11 months ago
GrassRoots: socially-driven web sites for the masses
Large, socially-driven Web 2.0 sites such as Facebook and Youtube have seen significant growth in popularity [5, 10]. However, strong demand also exists for socially-driven web s...
Frank Uyeda, Diwaker Gupta, Amin Vahdat, George Va...
ICDE
2010
IEEE
176views Database» more  ICDE 2010»
15 years 8 months ago
Efficient fuzzy type-ahead search in TASTIER
TASTIER is a research project on the new information-access paradigm called type-ahead search, in which systems find answers to a keyword query on-the-fly as users type in the quer...
Guoliang Li, Shengyue Ji, Chen Li, Jiannan Wang, J...
KCAP
2003
ACM
15 years 9 months ago
Building large knowledge bases by mass collaboration
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...
Matthew Richardson, Pedro Domingos