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» Studying trailfinding algorithms for enhanced web search
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MIR
2005
ACM
133views Multimedia» more  MIR 2005»
14 years 2 months ago
Probabilistic web image gathering
We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
Keiji Yanai, Kobus Barnard
IUI
2010
ACM
14 years 25 days ago
Automatic generation of research trails in web history
We propose the concept of research trails to help web users create and reestablish context across fragmented research processes without requiring them to explicitly structure and ...
Elin Rønby Pedersen, Karl Gyllstrom, Shengy...
CIKM
2008
Springer
13 years 10 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
SIGIR
2008
ACM
13 years 8 months ago
A comparative evaluation of different link types on enhancing document clustering
With a growing number of works utilizing link information in enhancing document clustering, it becomes necessary to make a comparative evaluation of the impacts of different link ...
Xiaodan Zhang, Xiaohua Hu, Xiaohua Zhou
LCTRTS
2010
Springer
13 years 6 months ago
Improving both the performance benefits and speed of optimization phase sequence searches
The issues of compiler optimization phase ordering and selection present important challenges to compiler developers in several domains, and in particular to the speed, code size,...
Prasad A. Kulkarni, Michael R. Jantz, David B. Wha...