| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Langville, A. N. & Meyer, C. D. | A Survey of Eigenvector Methods of Web Information Retrieval | 2005 | The SIAM Review | misc | URL |
| Abstract: Web information retrieval is significantly more challenging than traditional well-controlled,
all document collection information retrieval. One main difference between traditional formation retrieval and Web information retrieval is the Web’s hyperlink structure. This ructure has been exploited by several of today’s leading Web search engines, particularly ogle and Teoma. In this survey paper, we focus on Web information retrieval methods at use eigenvector computations, presenting the three popular methods of HITS, geRank, and SALSA. |
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BibTeX:
@misc{eigenvector2005Langville,
author = {Langville, Amy N. and Meyer, Carl D.},
title = {A Survey of Eigenvector Methods of Web Information Retrieval},
journal = {The SIAM Review},
year = {2005},
volume = {47},
number = {1},
pages = {135-161},
url = {http://www.cofc.edu/~langvillea/surveyEVwebIRReprint.pdf}
}
|
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