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EICS
2010
ACM
13 years 10 months ago
Using ensembles of decision trees to automate repetitive tasks in web applications
Web applications such as web-based email, spreadsheets and form filling applications have become ubiquitous. However, many of the tasks that users try to accomplish with such web ...
Zachary Bray, Per Ola Kristensson
ECAI
2008
Springer
13 years 6 months ago
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
ADC
2003
Springer
153views Database» more  ADC 2003»
13 years 10 months ago
Automated Discovery of Search Interfaces on the Web
Web search engines work well for finding crawlable pages, but not for finding datasets hidden behind Web search forms. We describe a novel technique for detecting search forms, ...
Jared Cope, Nick Craswell, David Hawking
WWW
2004
ACM
14 years 5 months ago
Using urls and table layout for web classification tasks
We propose new features and algorithms for automating Web-page classification tasks such as content recommendation and ad blocking. We show that the automated classification of We...
L. K. Shih, David R. Karger
GIS
2010
ACM
13 years 3 months ago
Location disambiguation in local searches using gradient boosted decision trees
Local search is a specialization of the web search that allows users to submit geographically constrained queries. However, one of the challenges for local search engines is to un...
Ritesh Agrawal, James G. Shanahan