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网络爬虫性能研究 被引量:3

Research of the function of network crawlers
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摘要 受到学习模型爬虫的启发,主题爬虫结合网页内容和链接信息来估计网页对给定主题的相关性,得到两个新型的爬虫变种。新型爬虫强调的不仅是有学习相关网页内容的能力,而且有引向相关网页的能力,并且在查找特定主题方面的能力有质的提高。 Inspired by learning crawler, this paper obtains two new focused crawlers which combine Web page content and link information. The new focused crawlers emphasis not only on the capability of learning the content of relevant pages but also paths leading to relevant pages. Furthermore, the new crawlers' ability to find more specific topics has improved.
出处 《微型机与应用》 2011年第5期72-74,80,共4页 Microcomputer & Its Applications
基金 广东省软科学研究项目(2009B070300052)
关键词 主题爬虫 学习型爬虫 学习型主题爬虫 focused crawler learning crawler learning focused crawler
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参考文献7

  • 1Zuo Xiaojun, Zhang Kaituo. An improved search algorithm of focused crawler in vertical search engine [C]. Asia-Pacific Youth Conference On Communication Technology2010 (APYCCT 2010), 2010: 509-513. 被引量:1
  • 2Ju Xiaolin, Chen Jihong, Shao Haoran. Hierarchical Web page classification method based on vector space model[C].Journal of Nantong University (Natural Science Edition), 2010. 被引量:1
  • 3Yang Shengyuan. A focused crawler with ontology-supported website models for information agents [C]. Advances in Grid and Pervasive Computing, 2010:522-532. 被引量:1
  • 4LI Jun, FURUSE K, YAMAGUCHI K. Focused crawling by exploiting anchor text using decision tree [C]. Proceedings of the 14th International World Wide Web Conference, 2005: 1190-1191. 被引量:1
  • 5CHEN Y. A novel hybrid focused crawling algorithm to build domain-specific collections[D]. Ph.D. Thesis, Virginia Polytechnic Institute and State University, 2007. 被引量:1
  • 6STEINBACH M, KARYPIS G, KUMAR V. A comparison of document clustering techniques [C]. Sixth ACM SIGKDD, World Text Mining Conference, Boston, MA, 2000. 被引量:1
  • 7UDDIN M Z, LEE J J, KIM T S. Independent shape component-based human activity recognition via Hidden Markov Model[J]. Applied Intelligence, 2010,33(2) : 193-206. 被引量:1

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