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» Adaptive relevance feedback in information retrieval
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JUCS
2002
120views more  JUCS 2002»
13 years 8 months ago
Instance Cooperative Memory to Improve Query Expansion in Information Retrieval Systems
The main goal of this research is to improve Information Retrieval Systems by enabling them to generate search outcomes that are relevant and customized to each specific user. Our ...
Lobna Jeribi, Béatrice Rumpler
AIRS
2005
Springer
14 years 2 months ago
Query Expansion with the Minimum Relevance Judgments
Query expansion techniques generally select new query terms from a set of top ranked documents. Although a user’s manual judgment of those documents would much help to select goo...
Masayuki Okabe, Kyoji Umemura, Seiji Yamada
ECCV
2008
Springer
14 years 10 months ago
Output Regularized Metric Learning with Side Information
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
Wei Liu, Steven C. H. Hoi, Jianzhuang Liu
ECIR
1998
Springer
13 years 10 months ago
The Relationship between IR and Multimedia Databases
Modern extensible database systems support multimedia data through ADTs. However, because of the problems with multimedia query formulation, this support is not sufficient. Multim...
Arjen P. de Vries, Henk M. Blanken
ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
14 years 3 months ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa