CLC number: TP393
On-line Access:
Received: 2002-10-21
Revision Accepted: 2003-01-09
Crosschecked: 0000-00-00
Cited: 0
Clicked: 4582
YU Yi-jun, CHEN Chun, YU Yi-min, Lin Huai-zhong. Web multimedia information retrieval using improved Bayesian algorithm[J]. Journal of Zhejiang University Science A, 2003, 4(4): 415-420.
@article{title="Web multimedia information retrieval using improved Bayesian algorithm",
author="YU Yi-jun, CHEN Chun, YU Yi-min, Lin Huai-zhong",
journal="Journal of Zhejiang University Science A",
volume="4",
number="4",
pages="415-420",
year="2003",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2003.0415"
}
%0 Journal Article
%T Web multimedia information retrieval using improved Bayesian algorithm
%A YU Yi-jun
%A CHEN Chun
%A YU Yi-min
%A Lin Huai-zhong
%J Journal of Zhejiang University SCIENCE A
%V 4
%N 4
%P 415-420
%@ 1869-1951
%D 2003
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2003.0415
TY - JOUR
T1 - Web multimedia information retrieval using improved Bayesian algorithm
A1 - YU Yi-jun
A1 - CHEN Chun
A1 - YU Yi-min
A1 - Lin Huai-zhong
J0 - Journal of Zhejiang University Science A
VL - 4
IS - 4
SP - 415
EP - 420
%@ 1869-1951
Y1 - 2003
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2003.0415
Abstract: The main thrust of this paper is application of a novel data mining approach on the log of user's feedback to improve web multimedia information retrieval performance. A user space model was constructed based on data mining, and then integrated into the original information space model to improve the accuracy of the new information space model. It can remove clutter and irrelevant text information and help to eliminate mismatch between the page author's expression and the user's understanding and expectation. user space model was also utilized to discover the relationship between high-level and low-level features for assigning weight. The authors proposed improved Bayesian algorithm for data mining. Experiment proved that the authors' proposed algorithm was efficient.
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