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Journal of Zhejiang University SCIENCE A 2003 Vol.4 No.4 P.415-420


Web multimedia information retrieval using improved Bayesian algorithm

Author(s):  YU Yi-jun, CHEN Chun, YU Yi-min, Lin Huai-zhong

Affiliation(s):  Department of Computer Science & Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   yijunyu@mail.hz.zj.cn

Key Words:  Relevant feedback, Web log mining, Improved Bayesian algorithm, User space model

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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.

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author="YU Yi-jun, CHEN Chun, YU Yi-min, Lin Huai-zhong",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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%A CHEN Chun
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%A Lin Huai-zhong
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2003.0415

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
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%@ 1869-1951
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2003.0415

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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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