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2009
Springer

Detecting Real User Tasks by Training on Laboratory Contextual Attention Metadata

11 years 4 months ago
Detecting Real User Tasks by Training on Laboratory Contextual Attention Metadata
Abstract: Detecting the current task of a user is essential for providing her with contextualized and personalized support, and using Contextual Attention Metadata (CAM) can help doing so. Some recent approaches propose to perform automatic user task detection by means of task classifiers using such metadata. In this paper, we show that good results can be achieved by training such classifiers offline on CAM gathered in laboratory settings. We also isolate a combination of metadata features that present a significantly better discriminative power than classical ones.
Andreas S. Rath, Didier Devaurs, Stefanie N. Linds
Added 24 Jul 2010
Updated 24 Jul 2010
Type Conference
Year 2009
Where GI
Authors Andreas S. Rath, Didier Devaurs, Stefanie N. Lindstaedt
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