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» Understanding web search via a learning paradigm
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MTA
2008
186views more  MTA 2008»
14 years 9 months ago
Tactile web browsing for blind people
Information on the World Wide Web becomes more and more important for our society. For blind people this is a chance to access more information for their everyday life. In this pap...
Martin Rotard, Christiane Taras, Thomas Ertl
SIGMOD
2006
ACM
232views Database» more  SIGMOD 2006»
15 years 9 months ago
To search or to crawl?: towards a query optimizer for text-centric tasks
Text is ubiquitous and, not surprisingly, many important applications rely on textual data for a variety of tasks. As a notable example, information extraction applications derive...
Panagiotis G. Ipeirotis, Eugene Agichtein, Pranay ...
ICDE
2006
IEEE
146views Database» more  ICDE 2006»
15 years 11 months ago
Query Selection Techniques for Efficient Crawling of Structured Web Sources
The high quality, structured data from Web structured sources is invaluable for many applications. Hidden Web databases are not directly crawlable by Web search engines and are on...
Ping Wu, Ji-Rong Wen, Huan Liu, Wei-Ying Ma
IDA
2003
Springer
15 years 2 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
ICMCS
2006
IEEE
174views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Web Image Mining Based on Modeling Concept-Sensitive Salient Regions
In this paper, we propose a probabilistic model for web image mining, which is based on concept-sensitive salient regions without human intervene. Our goal is to achieve a middle-...
Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, ...