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» Extracting Web Data Using Instance-Based Learning
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WWW
2008
ACM
14 years 10 months ago
Why web 2.0 is good for learning and for research: principles and prototypes
The term "Web 2.0" is used to describe applications that distinguish themselves from previous generations of software by a number of principles. Existing work shows that...
Carsten Ullrich, Kerstin Borau, Heng Luo, Xiaohong...
SIGIR
2012
ACM
12 years 15 days ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
AUSDM
2007
Springer
112views Data Mining» more  AUSDM 2007»
14 years 4 months ago
Measuring Data-Driven Ontology Changes using Text Mining
Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
Majigsuren Enkhsaikhan, Wilson Wong, Wei Liu, Mark...
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
14 years 10 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
VLDB
2011
ACM
251views Database» more  VLDB 2011»
13 years 5 months ago
Harvesting relational tables from lists on the web
A large number of web pages contain data structured in the form of “lists”. Many such lists can be further split into multi-column tables, which can then be used in more seman...
Hazem Elmeleegy, Jayant Madhavan, Alon Y. Halevy