If you think that the Google search engine is fast already, wait until you hear about the latest discovery made by a team of avid Internet users at Stanford University. At present, Google’s ranking system relies on a method called PageRank, an invention of co-founder Larry Page which calculates the popularity and relevance of Web sites based on how many other sites link to it.. According to a statement made by the university, this method is inefficient due to the fact that each personalized or topic-sensitive ranking would also require a separate multi-day computation. “To speed up PageRank, Stanford researchers have developed a trio of techniques based on a branch of mathematics called numerical linear algebra.”.
For the complete story, as well as a run-down on the specific techniques used, make sure you give this link a look.