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FQAS
2009
Springer
137views Database» more  FQAS 2009»
14 years 8 days ago
Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System
Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback in order to get results closer to the user’s information need. This pape...
Luis M. de Campos, Juan M. Fernández-Luna, ...
ICIAR
2007
Springer
14 years 1 months ago
Image Retrieval Using Transaction-Based and SVM-Based Learning in Relevance Feedback Sessions
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
Xiaojun Qi, Ran Chang
CIKM
2010
Springer
13 years 6 months ago
Third workshop on exploiting semantic annotations in information retrieval (ESAIR): CIKM 2010 workshop
There is an increasing amount of structure on the Web as a result of modern Web languages, user tagging and annotation, and emerging robust NLP tools. These meaningful, semantic, ...
Jaap Kamps, Jussi Karlgren, Ralf Schenkel
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 7 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
ICPR
2002
IEEE
14 years 8 months ago
Building a Latent Semantic Index of an Image Database from Patterns of Relevance Feedback
This paper proposes a novel view of the information generated by relevance feedback. Latent semantic analysis is adapted to this view to extract useful inter-query information. Th...
Douglas R. Heisterkamp