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SIGIR
2010
ACM
15 years 1 months ago
Learning more powerful test statistics for click-based retrieval evaluation
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, T...
DAGM
2008
Springer
14 years 11 months ago
Implicit Feedback between Reconstruction and Tracking in a Combined Optimization Approach
In this work, we present a combined approach to tracking and reconstruction. An implicit feedback of 3d information to the tracking process is achieved by optimizing a single error...
Olaf Kähler, Joachim Denzler
CIKM
2009
Springer
15 years 4 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
CVPR
2003
IEEE
15 years 2 months ago
Adaptive Pattern Discovery for Interactive Multimedia Retrieval
Relevance feedback has been an indispensable component for multimedia retrieval systems. In this paper, we present an adaptive pattern discovery method, which addresses relevance ...
Yimin Wu, Aidong Zhang
SIGIR
2005
ACM
15 years 3 months ago
Accurately interpreting clickthrough data as implicit feedback
This paper examines the reliability of implicit feedback generated from clickthrough data in WWW search. Analyzing the users’ decision process using eyetracking and comparing im...
Thorsten Joachims, Laura A. Granka, Bing Pan, Hele...