| 基于链接聚类的Shark-Search算法 |
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| 引用本文： | 苏祺,项锟,孙斌.基于链接聚类的Shark-Search算法[J].山东大学学报(理学版),2006,41(3):1-04. |
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| 作者姓名： | 苏祺 项锟 孙斌 |
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| 作者单位： | 北京大学,计算语言学研究所,北京,100871 |
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| 基金项目： | 国家自然科学基金，中国科学院资助项目 |
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| 摘 要： | 根据对Shark-Search主题爬取算法的分析，提出了一种基于链接聚类的改进Shark-Search算法. 并通过几个对比实验对该算法进行了验证. 实验结果表明,新算法能够更有效地识别链接与主题的相关性.
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| 关 键 词： | Shark-Search算法 主题爬取 链接聚类 |
| 收稿时间： | 2006-03-09 |
The Shark-Search algorithm based on clustering links |
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| SU Qi,XIANG Kun,SUN Bin.The Shark-Search algorithm based on clustering links[J].Journal of Shandong University,2006,41(3):1-04. |
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| Authors: | SU Qi XIANG Kun SUN Bin |
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| Institution: | Institute of Computational Linguistics, Peking Univ., Beijing 100871, China |
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| Abstract: | Based on the analysis of the focused-crawling algorithm Shark-Search, an improved Shark-Search algorithm with link clustering is proposed. The new algorithm by several comparable experiments is validated. The results show that it could identify the relevance between link and focused topic more effectively. |
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| Keywords: | Shark-Search algorithm focused crawling link clustering |
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