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Weak-Linked Document in Search Engine

In: 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings

Author

Listed:
  • Wei Yanjun

    (Computer Department Shangqiu Vocational and Technical College Shangqiu)

  • Zheng Qingbi

    (Computer Department Shangqiu Vocational and Technical College Shangqiu)

Abstract

The current search engine cannot rank well weak-linked documents such as PowerPoint files and AJAX applications. Current search engines return therefore either completely irrelevant results or poorly ranked documents when searching for these files. Roc, a novel framework is proposed for correctly retrieving and ranking weak-linked documents based on Clustering. The experiments show that our approach considerably improves the result quality of current search engines and that of latent semantic indexing.

Suggested Citation

  • Wei Yanjun & Zheng Qingbi, 2013. "Weak-Linked Document in Search Engine," Springer Books, in: Bing Xu (ed.), 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings, edition 127, pages 527-533, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-34910-2_62
    DOI: 10.1007/978-3-642-34910-2_62
    as

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