An alternative to the all-inclusive method used by the likes of AltaVista
is being developed by Jon Kleinberg at Cornell University. Instead of looking
for keywords in the text of Web pages, Kleinberg ranks relevance by looking at
the number of links to a page from other sites. He reasons that the more useful
a page is, the more links will point to it. No search engine has been built
around his ideas, but several papers about his work can be found at
http://simon.cs.cornell.edu/home/kleinber/.
More from Âé¶¹´«Ã½
Explore the latest news, articles and features
Technology
Nations and big tech to train AI using ‘gold dust’ data from Ukraine
News
Technology
Driving data can predict crash black spots before accidents happen
News
Technology
The engineer racing to run the world’s most dangerous algorithm
Features
Technology
AI firms are watermarking generated text – here’s why it won’t work
News
Popular articles
Trending Âé¶¹´«Ã½ articles