CALA: a web analysis algorithm combined with content correlation analysis method

  • Authors:
  • Ling Zhang;FanYuan Ma;YunMing Ye;JianGuo Chen

  • Affiliations:
  • Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, P.R. China;Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, P.R. China;Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, P.R. China;Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, P.R. China

  • Venue:
  • Journal of Computer Science and Technology
  • Year:
  • 2003

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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.