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Study on the Improvement of Hits Algorithm of Web Structure Mining

Author: YangJinZuo
Tutor: GaoShiChen
School: Chinese Geology University (Beijing)
Course: Applied Mathematics
Keywords: HITS algorithm Link analysis Relevance Popularity
CLC: TP311.13
Type: Master's thesis
Year: 2008
Downloads: 190
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Abstract


High-speed and disorderly growth of the Web , so that the entire Internet information resources and the lack of effective organization and structure . Traditional search engines provide a powerful tool for users to retrieve Web information , but with the rapid development of the Internet , they are increasingly difficult to meet the retrieval needs of the user . This paper analyzes the challenges posed by the Internet information retrieval technology , analysis of the advantages and disadvantages of the traditional search engine and introduced the traditional search engine based on Web structure mining using several basic techniques . Structural analysis of Web - based approach to knowledge derived from the organizational structure and link relationship . In this thesis, the system based on the structural analysis of Web information retrieval technology development , focusing on the HITS algorithm and its analysis and improvement . HITS algorithm is based on the query subjects important link analysis method one , but it does not distinguish between links , easily Theme drift phenomenon . This thesis is based on analysis HITS algorithm , improved HITS algorithm, based on the theme relevance and web popularity and importance of relevance and popularity to distinguish link . The HITS algorithm comparative experiments , the results show that : the improved HITS algorithm than the original HITS algorithm , ARC algorithm , SALSA algorithm can find more relevant pages , the Relevance to increase the proportion of 30% -50% , thus greatly reducing the theme drift , higher efficiency and quality .

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