Topic Hub Based Meta Search Engine

JIANG Zong-li; LI Xian-lei; XU Xue-ke

Journal of Beijing University of Technology > 2009 > 35(3): 397-402.

JIANG Zong-li, LI Xian-lei, XU Xue-ke. Topic Hub Based Meta Search Engine[J]. Journal of Beijing University of Technology, 2009, 35(3): 397-402.

Citation:

JIANG Zong-li, LI Xian-lei, XU Xue-ke. Topic Hub Based Meta Search Engine[J]. Journal of Beijing University of Technology, 2009, 35(3): 397-402.

Citation:

JIANG Zong-li, LI Xian-lei, XU Xue-ke. Topic Hub Based Meta Search Engine[J]. Journal of Beijing University of Technology, 2009, 35(3): 397-402.

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Topic Hub Based Meta Search Engine

College of Computer Science, Beijing University of Technology, Beijing 100124, China

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Received Date: October 24, 2007
Available Online: December 06, 2022

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Abstract

To improve the ranking result quality of meta search engine,the authors propose and design a ranking algorithm based on the component engines by topic hub values.The algorithm uses a set of topic relating words to learn the feature of the component engines and denotes them as topic hub values.The ranking algorithm calculates the global similarity of the results according to the topic hub values.The experiments show that the model can get a better ranking quality.
- search engine,
- meta search engine,
- ranking,
- topic hub

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