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» Evaluation Methods for Web Application Clustering
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KDD
2010
ACM
257views Data Mining» more  KDD 2010»
14 years 1 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
WWW
2009
ACM
14 years 9 months ago
Large scale integration of senses for the semantic web
Nowadays, the increasing amount of semantic data available on the Web leads to a new stage in the potential of Semantic Web applications. However, it also introduces new issues du...
Jorge Gracia, Mathieu d'Aquin, Eduardo Mena
RULEML
2010
Springer
13 years 7 months ago
Visualizing Logical Dependencies in SWRL Rule Bases
Rule bases are common in many business rule applications, clinical decision support programs, and other types of intelligent systems. As the size of the rule bases grows and the in...
Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
SIGIR
2012
ACM
11 years 11 months ago
Mining query subtopics from search log data
Most queries in web search are ambiguous and multifaceted. Identifying the major senses and facets of queries from search log data, referred to as query subtopic mining in this pa...
Yunhua Hu, Ya-nan Qian, Hang Li, Daxin Jiang, Jian...
EUROSYS
2006
ACM
14 years 6 months ago
Database replication policies for dynamic content applications
The database tier of dynamic content servers at large Internet sites is typically hosted on centralized and expensive hardware. Recently, research prototypes have proposed using d...
Gokul Soundararajan, Cristiana Amza, Ashvin Goel