Inter-search engine lexical signature performance

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Inter-search engine lexical signature performance

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International Conference on Digital Libraries archive
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries table of contents

Austin, TX, USA

POSTER SESSION: Posters table of contents

Pages 413-414

Year of Publication: 2009

ISBN:978-1-60558-322-8

Authors

Martin Klein	Old Dominion University, Norfolk, VA, USA
Michael L. Nelson	Old Dominion University, Norfolk, VA, USA

Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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ABSTRACT

We generate lexical signatures (LSs) from web pages and acquire the mandatory document frequency values from three dierent search engine (SE) indexes. We cross-query the LSs against the two SEs they were not generated from and compare the retrieval performance by parsing the result set and analyzing the rank of the source URL.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Frank Keller , Mirella Lapata, Using the web to obtain frequencies for unseen bigrams, Computational Linguistics, v.29 n.3, p.459-484, September 2003 [doi>10.1162/089120103322711604]
	2	Martin Klein , Michael L. Nelson, Revisiting Lexical Signatures to (Re-)Discover Web Pages, Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries, September 14-19, 2008, Aarhus, Denmark [doi>10.1007/978-3-540-87599-4_38]
	3	Seung-Taek Park , David M. Pennock , C. Lee Giles , Robert Krovetz, Analysis of lexical signatures for improving information persistence on the World Wide Web, ACM Transactions on Information Systems (TOIS), v.22 n.4, p.540-572, October 2004 [doi>10.1145/1028099.1028101]