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.
%0 Generic
%1 eigenvector2005Langville
%A Langville, Amy N.
%A Meyer, Carl D.
%D 2005
%J The SIAM Review
%K web svd pagerank ir eigenvector salsa lsi **** hits
%N 1
%P 135-161
%T A Survey of Eigenvector Methods of Web Information Retrieval
%U http://www.cofc.edu/~langvillea/surveyEVwebIRReprint.pdf
%V 47
%X 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.
@misc{eigenvector2005Langville,
abstract = {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.},
added-at = {2006-12-15T08:26:50.000+0100},
author = {Langville, Amy N. and Meyer, Carl D.},
biburl = {https://www.bibsonomy.org/bibtex/2445172dea700200486177842e9dfe3cb/hotho},
description = {Amy N. Langville's homepage},
interhash = {d457071e1f5270c3d50cbb3243546833},
intrahash = {445172dea700200486177842e9dfe3cb},
journal = {The SIAM Review},
keywords = {web svd pagerank ir eigenvector salsa lsi **** hits},
number = 1,
pages = {135-161},
timestamp = {2006-12-15T08:26:50.000+0100},
title = {A Survey of Eigenvector Methods of Web Information Retrieval},
url = {http://www.cofc.edu/~langvillea/surveyEVwebIRReprint.pdf},
volume = 47,
year = 2005
}