@article{furnas1988iru, author = {Furnas, GW and Deerwester, S. and Dumais, ST and Landauer, TK and Harshman, RA and Streeter, LA and Lochbaum, KE}, booktitle = {Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval}, interhash = {78be8a4a06c0453b1db414c157c00d60}, intrahash = {b7ee6989f3c0a0e7e98f4e81ff30a21f}, organization = {ACM New York, NY, USA}, pages = {465--480}, title = {{Information retrieval using a singular value decomposition model of latent semantic structure}}, year = 1988 } @article{deerwester1990ils, author = {Deerwester, S. and Dumais, S.T. and Furnas, G.W. and Landauer, T.K. and Harshman, R.}, interhash = {c15e0f019b2b967d224e7443100e8ff9}, intrahash = {c4b3c80072a4c342ac64c663401db5cb}, journal = {Journal of the American society for information science}, number = 6, pages = {391--407}, title = {{Indexing by latent semantic analysis}}, volume = 41, year = 1990 } @inproceedings{OsinskiSW04, author = {Osinski, Stanislaw and Stefanowski, Jerzy and Weiss, Dawid}, booktitle = {Intelligent Information Systems}, crossref = {ConfIis2004}, interhash = {ee4c7c8946a283da5d65103ce8f77a81}, intrahash = {40aba631c1ac8819bd64b0ee74bfdd1b}, pages = {359-368}, title = {Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition}, year = 2004 } @techreport{berry94using, author = {Berry, Michael W. and Dumais, Susan T. and O'Brien, Gavin W.}, institution = {Computer Science Department, University of Tennessee, Knoxville}, interhash = {e549ee9043c39e08ec025d5b4b2111f5}, intrahash = {bcaa7d0ba815e0f2796616c5504fbeff}, number = {UT-CS-94-270}, title = {Using Linear Algebra for Intelligent Information Retrieval}, url = {http://citeseer.ist.psu.edu/berry95using.html}, year = 1994 } @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.}, author = {Langville, Amy N. and Meyer, Carl D.}, interhash = {d457071e1f5270c3d50cbb3243546833}, intrahash = {445172dea700200486177842e9dfe3cb}, journal = {The SIAM Review}, number = 1, pages = {135-161}, title = {A Survey of Eigenvector Methods of Web Information Retrieval}, url = {http://www.cofc.edu/~langvillea/surveyEVwebIRReprint.pdf}, volume = 47, year = 2005 }