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CIKM
2008
Springer
13 years 8 months ago
Active relevance feedback for difficult queries
Relevance feedback has been demonstrated to be an effective strategy for improving retrieval accuracy. The existing relevance feedback algorithms based on language models and vect...
Zuobing Xu, Ram Akella
SIGIR
2008
ACM
13 years 6 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
VLDB
1999
ACM
140views Database» more  VLDB 1999»
13 years 10 months ago
Combining Histograms and Parametric Curve Fitting for Feedback-Driven Query Result-size Estimation
This paper aims to improve the accuracy of query result-size estimations in query optimizers by leveraging the dynamic feedback obtained from observations on the executed query wo...
Arnd Christian König, Gerhard Weikum
ICRA
2008
IEEE
131views Robotics» more  ICRA 2008»
14 years 17 days ago
Person tracking on a mobile robot with heterogeneous inter-characteristic feedback
— For a mobile robot that interacts with humans such as a home assistant or a tour guide robot, tracking a particular person among multiple persons is a fundamental, yet challeng...
Juhyun Lee, Peter Stone
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
13 years 9 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic