WANG Yaowei, SU Limin, TIAN Yonghong. KernelRank: Exploiting Semantic Linkage Kernelsfor Relevant Pages Finding[J]. Chinese Journal of Electronics, 2009, 18(3): 405-410.
Citation: WANG Yaowei, SU Limin, TIAN Yonghong. KernelRank: Exploiting Semantic Linkage Kernelsfor Relevant Pages Finding[J]. Chinese Journal of Electronics, 2009, 18(3): 405-410.

KernelRank: Exploiting Semantic Linkage Kernelsfor Relevant Pages Finding

  • Received Date: 2008-06-01
  • Rev Recd Date: 2008-12-01
  • Publish Date: 2009-08-25
  • Relevant pages finding is to find a set of relevantpages that address the same topic as the given page. Hyperlinkrelationship is an important useful clue for this task. Some hyperlinksare useful, also some are irrelevant or noisy. Therefore, it isimportant to design efficient relevant pages finding methods that canwork well in the real-world Web data. In this paper, we propose arelevant pages finding algorithm, KernelRank. This algorithm takesadvantage of linkage kernels to reveal latent semantic relationshipsamong pages and to identify relevant pages precisely and effectively.Experiments are conducted on WT10G and the results show that theKernelRank algorithm is feasible and effective.
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    通讯作者: 陈斌, bchen63@163.com
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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