a écrit le 20 novembre 2006 à 14h48 @ tous:
Je continue a affirmer qu'il n'y a que deux personne sur notre planete qui sont capable de comprendre ce qu'il fpnt en informatique: Bill Gates et son co-inventeur Jeff Debos. Tout le reste ne sait pas savent rien a ce qu'ils font. Lisez plutot:
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Software distinguishes between online namesakes
14:35 16 November 2006
NewScientist.com news service
Tom Simonite
Tools
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The University of Tokyo, Japan
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Andrew MacFarlane, City University, UK
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Scouring the web for someone with a common name could become easier with software that automatically distinguishes between individuals by analysing the details of search results.
The software tool, developed by researchers at the University of Tokyo in Japan, picks apart the results of a search engine query, identifying unique identities within these results. For example, it can tell the difference between Michael Jackson the pop singer and a travelling beer expert of the same name, who also appears on the first page of results produced by Google.
The program analyses the first 100 results returned by Google in response to a name search. It then examines common words in each summary to see if any results may relate to different people with the same name.
The program clusters together results thought to relate to different people. For example, it creates one cluster of results for pop signer Michael Jackson, defined by key words such as "music" and "trial", and another for beer expert Michael Jackson, defined by the words "beer" and "travel". In testing, the software was between 70% and 95% accurate at telling apart people with the same name.
Linguistic rules
The software also analyses full-page results to identify words or phrases that may be relevant to each unique person. It considers the frequency with which words and phrases appear and their grammatical relationship with the name in question.
"The keywords extracted by the algorithm can be used to suggest better queries to the user" to help them refine their search, says Danush
Je continue a affirmer qu'il n'y a que deux personne sur notre planete qui sont capable de comprendre ce qu'il fpnt en informatique: Bill Gates et son co-inventeur Jeff Debos. Tout le reste ne sait pas savent rien a ce qu'ils font. Lisez plutot:
Home|Jobs|Archive
Home|Jobs|Search
Subscribe
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RSS
Customer Service
Software distinguishes between online namesakes
14:35 16 November 2006
NewScientist.com news service
Tom Simonite
Tools
Related Articles
'Googling' could help doctors’ diagnoses
10 November 2006
Small sites boosted by search engines too
07 August 2006
The net reloaded
04 July 2006
Search New Scientist
Contact us
Web Links
The University of Tokyo, Japan
Knowledge Media Institute, Open University, UK
Andrew MacFarlane, City University, UK
17th European Conference on Artificial Intelligence
Scouring the web for someone with a common name could become easier with software that automatically distinguishes between individuals by analysing the details of search results.
The software tool, developed by researchers at the University of Tokyo in Japan, picks apart the results of a search engine query, identifying unique identities within these results. For example, it can tell the difference between Michael Jackson the pop singer and a travelling beer expert of the same name, who also appears on the first page of results produced by Google.
The program analyses the first 100 results returned by Google in response to a name search. It then examines common words in each summary to see if any results may relate to different people with the same name.
The program clusters together results thought to relate to different people. For example, it creates one cluster of results for pop signer Michael Jackson, defined by key words such as "music" and "trial", and another for beer expert Michael Jackson, defined by the words "beer" and "travel". In testing, the software was between 70% and 95% accurate at telling apart people with the same name.
Linguistic rules
The software also analyses full-page results to identify words or phrases that may be relevant to each unique person. It considers the frequency with which words and phrases appear and their grammatical relationship with the name in question.
"The keywords extracted by the algorithm can be used to suggest better queries to the user" to help them refine their search, says Danush
