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Christophe Deschamps's Library tagged → View Popular, Search in Google
Oct
11
2010
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Beyond those trillion pages lies an even vaster Web of hidden data: financial information, shopping catalogs, flight schedules, medical research and all kinds of other material stored in databases that remain largely invisible to search engines.
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To extract meaningful data from the Deep Web, search engines have to analyze users’ search terms and figure out how to broker those queries to particular databases. For example, if a user types in “Rembrandt,” the search engine needs to know which databases are most likely to contain information about art ( say, museum catalogs or auction houses), and what kinds of queries those databases will accept.
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Mar
22
2010
Article scientifique qui explique comment Google attaque le web invisible. Technique.
Feb
23
2009
“Most search engines try to help you find a needle in a haystack,” Mr. Rajaraman said, “but what we’re trying to do is help you explore the haystack.”
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“Google faces a real challenge,” said Chris Sherman, executive editor of the Web site Search Engine Land. “They want to make the experience better, but they have to be supercautious with making changes for fear of alienating their users.”
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“Google faces a real challenge,” said Chris Sherman, executive editor of the Web site Search Engine Land. “They want to make the experience better, but they have to be supercautious with making changes for fear of alienating their users.”
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Feb
4
2009
Enorme dossier de LLRX consacré à la recherche sur le web profond. Un mélange d'articles, moteurs, bases de données, présentations,...
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