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» Adaptive relevance feedback in information retrieval
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80
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EDBT
2006
ACM
169views Database» more  EDBT 2006»
15 years 9 months ago
Feedback-Driven Structural Query Expansion for Ranked Retrieval of XML Data
Relevance Feedback is an important way to enhance retrieval quality by integrating relevance information provided by a user. In XML retrieval, feedback engines usually generate an ...
Ralf Schenkel, Martin Theobald
101
Voted
ICMCS
2000
IEEE
142views Multimedia» more  ICMCS 2000»
15 years 2 months ago
Incorporate Discriminant Analysis with EM Algorithm in Image Retrieval
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
Qi Tian, Ying Wu, Thomas S. Huang
SIGIR
2005
ACM
15 years 3 months ago
A study of factors affecting the utility of implicit relevance feedback
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evidence on searcher interests from their interaction with the system. IRF is a new...
Ryen W. White, Ian Ruthven, Joemon M. Jose
FOIKS
2004
Springer
15 years 3 months ago
Towards a Generalized Interaction Scheme for Information Access
We introduce the formal framework of a generalized interaction scheme for information access between users and information sources. Within this framework we describe an interactio...
Yannis Tzitzikas, Carlo Meghini, Nicolas Spyratos
CHI
2008
ACM
15 years 10 months ago
Eye movements as implicit relevance feedback
Reading detection is an important step in the process of automatic relevance feedback generation based on eye movements for information retrieval tasks. We describe a reading dete...
Georg Buscher, Andreas Dengel, Ludger van Elst