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SIGIR
2008
ACM
13 years 4 months ago
Learning query intent from regularized click graphs
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...
Xiao Li, Ye-Yi Wang, Alex Acero
ML
2000
ACM
150views Machine Learning» more  ML 2000»
13 years 4 months ago
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Filippo Menczer, Richard K. Belew
WWW
2007
ACM
14 years 5 months ago
Understanding web search via a learning paradigm
Investigating whether one can view Web searching as a learning process, we examined the searching characteristics of 41 participants engaged in 246 searching tasks. We classified ...
Bernard J. Jansen, Brian Keith Smith, Danielle L. ...
CIKM
2009
Springer
13 years 11 months ago
Improving web page classification by label-propagation over click graphs
In this paper, we present a semi-supervised learning method for web page classification, leveraging click logs to augment training data by propagating class labels to unlabeled si...
Soo-Min Kim, Patrick Pantel, Lei Duan, Scott Gaffn...
IC
2003
13 years 6 months ago
Metasearch Via the Co-Citation Graph
—In spite of numerous search engines available on the web, no single engine is capable of performing “better” under all circumstances. This being the case, metasearch engines...
Hyun-Chul Lee