| CALA: A Web Analysis Algorithm Combined with Content Correlation Analvsis Method |
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| 作者姓名： | 张岭 马范援 叶允明 陈建国 |
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| 作者单位： | ZHANG Ling，MA FanYuan，YE YunMing and CHEN JianGuoDepartment of Computer Science and Engineering，Shanghai Jiaotong University，Shanghai 200030，P.R. China |
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| 基金项目： | 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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| 摘 要： | 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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CALA: A Web Analysis Algorithm Combined with Content Correlation Analvsis Method |
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| ZHANG Ling,MA FanYuan,YE YunMing and CHEN JianGuo.CALA: A Web Analysis Algorithm Combined with Content Correlation Analvsis Method[J].Journal of Computer Science and Technology,2003(1). |
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| Authors: | ZHANG Ling MA FanYuan YE YunMing and CHEN JianGuo |
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| Affiliation: | ZHANG Ling,MA FanYuan,YE YunMing and CHEN JianGuoDepartment of Computer Science and Engineering,Shanghai Jiaotong University,Shanghai 200030,P.R. China |
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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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| Keywords: | content correlation analysis link analysis information retrieval search engine |
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