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WWW
2006
ACM
15 years 10 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
IUI
2010
ACM
15 years 6 months ago
Tell me more, not just "more of the same"
The Web makes it possible for news readers to learn more about virtually any story that interests them. Media outlets and search engines typically augment their information with l...
Francisco Iacobelli, Larry Birnbaum, Kristian J. H...
CIKM
2007
Springer
15 years 3 months ago
Predictive user click models based on click-through history
Web search engines consistently collect information about users interaction with the system: they record the query they issued, the URL of presented and selected documents along w...
Benjamin Piwowarski, Hugo Zaragoza
CIKM
2004
Springer
15 years 3 months ago
A practical web-based approach to generating topic hierarchy for text segments
It is crucial in many information systems to organize short text segments, such as keywords in documents and queries from users, into a well-formed topic hierarchy. In this paper,...
Shui-Lung Chuang, Lee-Feng Chien
CLOUD
2010
ACM
15 years 2 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...