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» Relevance Feedback in XML Retrieval
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TREC
2008
13 years 7 months ago
Extending Relevance Model for Relevance Feedback
Relevance feedback is the retrieval task where the system is given not only an information need, but also some relevance judgement information, usually from users' feedback f...
Le Zhao, Chenmin Liang, Jamie Callan
CIKM
2005
Springer
13 years 11 months ago
Structural features in content oriented XML retrieval
The structural features of XML components are an extra source of information that should be used in a contentoriented retrieval task on this type of documents. This paper explores...
Georgina Ramírez, Thijs Westerveld, Arjen P...
VIP
2003
13 years 6 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin
CIVR
2005
Springer
137views Image Analysis» more  CIVR 2005»
13 years 11 months ago
Aspect-Based Relevance Learning for Image Retrieval
We analyze the special structure of the relevance feedback learning problem, focusing particularly on the effects of image selection by partial relevance on the clustering behavio...
Mark J. Huiskes
CIKM
2009
Springer
14 years 2 days 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