期刊文献+

基于模糊关系合成的HITS算法的改进

Improvement of HITS based on composition of fuzzy relation
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摘要 从Web结构挖掘的角度出发,比较了基于链接结构分析的PageRank和HITS2个经典算法,针对HITS单纯利用链接,忽略主题相关性问题,利用模糊关系的合成,得到页面与查询词之间的模糊隶属关系,对原有的HITS算法进行改进。实例验证了算法的有效性。 From the direction of Web structure mining, compares the authoritative algorithms based on Web hyperlink structure Pagerank and hyperlink-induced topic search. For HITS only use of a simple link, ignore the relevance of the theme. Composition of fuzzy relation is used for improving the original HITS algorithm.Examples verify the effectiveness of the algorithm.
作者 杨雯迪 周军
出处 《信息化纵横》 2009年第11期83-86,共4页
基金 辽宁省教育厅科学研究基金(20060409) 辽宁省高校优秀青年骨干教师基金
关键词 WEB结构挖掘 PAGERANK HITS 模糊关系合成 Web structure mining PageRank hyperlink induced topic searcha composition of fuzzy relation
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参考文献7

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