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CALA: A Web analysis algorithm combined with content correlation analysis method

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Abstract

Web hyperlink structure analysis algorithm plays a significant role in improving the precision of Web information retrieval. Current link algorithms employ iteration function to compute the Web resource weight. The major drawback of this approach is that every Web document has a fixed rank which is independent of Web queries. This paper proposes an improved algorithm that ranks the quality and the relevance of a page according to users' query dynamically. The experiments show that the current link analysis algorithm is improved.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiaotong University, 200030, Shanghai, P.R. China

    Zhang Ling, Ma FanYuan, Ye YunMing & Chen JianGuo

Authors
  1. Zhang Ling
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  2. Ma FanYuan
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  3. Ye YunMing
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  4. Chen JianGuo
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Corresponding author

Correspondence to Zhang Ling.

Additional information

This work is supported by the Science and Technology Committee of Shanghai Municipality/Key Project (Grant No.020J14045) and Major International Cooperation Program of NSFC (Grant No.60221120145).

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Zhang, L., Ma, F., Ye, Y. et al. CALA: A Web analysis algorithm combined with content correlation analysis method. J. Comput. Sci. & Technol. 18, 114–117 (2003). https://doi.org/10.1007/BF02946659

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  • DOI: https://doi.org/10.1007/BF02946659

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