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» Relevance Feedback in XML Retrieval
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BDA
2007
13 years 10 months ago
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...
ECIR
2006
Springer
13 years 10 months ago
Using Query Profiles for Clarification
Abstract. The following paper proposes a new kind of relevance feedback. It shows how so called query profiles can be employed for disambiguation and clarification. Query profiles ...
Henning Rode, Djoerd Hiemstra
ACMSE
2004
ACM
14 years 2 months ago
SA_MetaMatch: relevant document discovery through document metadata and indexing
SA_MetaMatch, a component of the Standards Advisor (SA), is designed to find relevant documents through matching indices of metadata and document content. The elements in the meta...
Hiu S. Yau, J. Scott Hawker
MIR
2006
ACM
145views Multimedia» more  MIR 2006»
14 years 2 months ago
Similarity learning via dissimilarity space in CBIR
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
Giang P. Nguyen, Marcel Worring, Arnold W. M. Smeu...
SIGIR
2004
ACM
14 years 2 months ago
Display time as implicit feedback: understanding task effects
Recent research has had some success using the length of time a user displays a document in their web browser as implicit feedback for document preference. However, most studies h...
Diane Kelly, Nicholas J. Belkin