Google algorithm

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Google algorithm

The formula Google uses to rank the resulting Web pages from a user's query. Along with the PageRank system that was Google's major contribution to evaluating website importance due to popularity, Google uses numerous other criteria that change periodically to deliver more relevant results as well as to prevent people from gaming the system. For example, if one criterion were the quantity of identical words in the page, search engine optimization (SEO) specialists might embed multiple occurrences of the word in the page that are invisible to the user but not to the search engine spider that crawls the Web. When Google finds that people are doing excessive "keyword stuffing," it may lessen the value of that criterion in the overall mix.

Continual Changes
Over the years, Google has had numerous algorithm changes, many of which have names and multiple versions, including Boston, Caffeine, Cassandra, Dominic, Esmerelda, Fritz, Florida, Austin, Brandy, Allegra, Bourbon, Gilligan, Jagger, Big Daddy, Buffy, Dewey, Panda and Penguin. In 2013, the Hummingbird algorithm was a major change in order to deliver more targeted results for users.

Some Gain, Some Lose
With each algorithm change, some percentage of websites gain in popularity, while others lose. Occasionally, even major sites take a huge hit, drawing 10 million page views one day and 5 million the day after an algorithm change. See page ranking, Google AMP, Web spam, spamdexing and Google.
References in periodicals archive ?
Germany Wants to See Google Search Algorithm : Google's position as the dominant search engine in Europe is working against it.
It has suffered from lower traffic, partially a result of a revised Google search algorithm.
This article is directed to readers across the sciences and technology, and is intended to give a generally accessible introduction to the mathematical basis of the Google search algorithm.
In May, Google search algorithms were hit with several updates that targeted poor content quality and irregular map searches.
As for algorithm dynamics, this is the idea that software engineers are constantly adapting the Google search algorithms, and users are constantly changing their behavior, both of which combine to affect GFT's tracking.