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CONTEXT
2007
Springer
13 years 11 months ago
2007
Springer
Our goal in this study was to explore the potentials of extracting features from eye-tracking data that have the potential to improve performance in implicit relevance feedback. We...
CCIA
2005
Springer
13 years 10 months ago
2005
Springer
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...
SIGIR
2009
ACM
13 years 11 months ago
2009
ACM
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 ...
CHI
2008
ACM
14 years 5 months ago
2008
ACM
Reading detection is an important step in the process of automatic relevance feedback generation based on eye movements for information retrieval tasks. We describe a reading dete...
SIGIR
2008
ACM
13 years 4 months ago
2008
ACM
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...