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» Enhancing Relevance Models with Adaptive Passage Retrieval
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SIGIR
2008
ACM
13 years 10 months ago
A study of methods for negative relevance feedback
Negative relevance feedback is a special case of relevance feedback where we do not have any positive example; this often happens when the topic is difficult and the search result...
Xuanhui Wang, Hui Fang, ChengXiang Zhai
ICTIR
2009
Springer
14 years 5 months ago
A Four-Factor User Interaction Model for Content-Based Image Retrieval
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...
IUI
2005
ACM
14 years 4 months ago
ScentHighlights: highlighting conceptually-related sentences during reading
Researchers have noticed that readers are increasingly skimming instead of reading in depth. Skimming also occur in re-reading activities, where the goal is to recall specific top...
Ed Huai-hsin Chi, Lichan Hong, Michelle Gumbrecht,...
SIGIR
2010
ACM
14 years 2 months ago
On statistical analysis and optimization of information retrieval effectiveness metrics
This paper presents a new way of thinking for IR metric optimization. It is argued that the optimal ranking problem should be factorized into two distinct yet interrelated stages:...
Jun Wang, Jianhan Zhu
DRR
2010
14 years 1 months ago
Incorporating linguistic post-processing into whole-book recognition
We describe a technique of linguistic post-processing of whole-book recognition results. Whole-book recognition is a technique that improves recognition of book images using fully...
Pingping Xiu, Henry S. Baird