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» Implicit Relevance Feedback from Eye Movements
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SIGIR
2009
ACM
13 years 11 months ago
Segment-level display time as implicit feedback: a comparison to eye tracking
We examine two basic sources for implicit relevance feedback on the segment level for search personalization: eye tracking and display time. A controlled study has been conducted ...
Georg Buscher, Ludger van Elst, Andreas Dengel
CHI
2011
ACM
12 years 8 months ago
No clicks, no problem: using cursor movements to understand and improve search
Understanding how people interact with search engines is important in improving search quality. Web search engines typically analyze queries and clicked results, but these actions...
Jeff Huang, Ryen W. White, Susan T. Dumais
ETRA
2010
ACM
176views Biometrics» more  ETRA 2010»
14 years 3 days ago
Learning relevant eye movement feature spaces across users
In this paper we predict the relevance of images based on a lowdimensional feature space found using several users’ eye movements. Each user is given an image-based search task,...
Zakria Hussain, Kitsuchart Pasupa, John Shawe-Tayl...
CCIA
2005
Springer
13 years 10 months ago
Acquiring Unobtrusive Relevance Feedback through Eye-Tracking in Ambient Recommender Systems
Acquiring relevant information to keep user’s preferences up-to-date is crucial in recommender systems in order to close the cycle of recommendations. Ambient Intelligence is a s...
Gustavo González, Beatriz López, Cec...
SIGIR
2008
ACM
13 years 5 months ago
Query expansion using gaze-based feedback on the subdocument level
We examine the effect of incorporating gaze-based attention feedback from the user on personalizing the search process. Employing eye tracking data, we keep track of document part...
Georg Buscher, Andreas Dengel, Ludger van Elst