A SURVEY OF EIGENVECTOR METHODS FOR WEB INFORMATION RETRIEVAL

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Added by benbanbun on 2010-11-12 10:37

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Creator(s): AMY N. LANGVILLE, CARL D. MEYER

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Web information retrieval is significantly more challenging than traditional well controlled,
small document collection information retrieval. One main difference between traditional information retrieval and Web information retrieval is the Web's hyperlink structure. This structure has been exploited by several of today's leading Web search engines, particularly Google and Teoma. In this survey paper, we focus on Web information retrieval methods that use eigenvector
computations, presenting the three popular methods of HITS, PageRank, and SALSA.

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Comments

  • very good introduction into PageRank, Hits and Salsa
    posted by benbanbun on 2010-11-12 12:09
  • cited by python's graph library networkx.
    posted by benbanbun on 2010-11-12 10:38
A SURVEY OF EIGENVECTOR METHODS FOR WEB INFORMATION RETRIEVAL Web information retrieval is significantly more challenging than traditional well controlled, small document collection information retrieval. One main difference between traditional information retrieval and Web information retrieval is the Web's hyperlink structure. This structure has been exploited by several of today's leading Web search engines, particularly Google and Teoma. In this survey paper, we focus on Web information retrieval methods that use eigenvector computations, presenting the three popular methods of HITS, PageRank, and SALSA. AMY N. LANGVILLE, CARL D. MEYER