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`798 captures
`23 Feb 02- 9 May 14
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`2009
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`2010
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`20
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`~Corporate Information
`
`Technology Overview
`
`We stand alone in ou r focus on developing the "perfect search engine," defined by co-founder
`Larry Page as something that, "understands exactly what you mean and gives you back exactly
`what you want 11 To that end, we have persistently pursued innovation and refused to accept the
`limitations of existing models. As a result, we developed our serving infrastructure and
`breakthrough PageRankTM technology that changed the way searches are conducted.
`
`From the beginning, our developers recognized that providing the fastest, most accurate results
`required a new kind of server setup . Whereas most search engines ran off a handful of large
`servers that often slowed under peak loads , ours employed linked PCs to quickly find each query's
`answer. The innovation paid off in faster response times, greater scalability and lower costs. It's an
`idea that others have since copied, while we have continued to refine our back-end technology to
`make it even more efficient.
`
`• Home
`• Corporate Info
`o Overview
`o Technology
`o Business
`0 ~
`o Mana~ement
`o Milestones
`o Initiatives
`• At a Glance
`o Quick
`Profile
`o Offices
`• Our Philosophy
`o Ten things
`o Software
`The software behind our search technology conducts a series of simultaneous calculations
`principles
`requiring only a fraction of a second. Trad itional search engines rely heavily on how often a word
`0 ~
`appears on a web page. We use more than 200 signals, including our patented PageRankrM
`principles
`algorithm, to examine the entire link structure of the web and determine which pages are most
`o Design
`important. We then conduct hypertext-matching analysis to determine which pages are relevant to
`principles
`the specific search being conducted. By combining overall importance and query-specific
`o No pop-ups
`relevance, we're able to put the most relevant and reliable results first.
`o Security
`
`Find on this site:
`
`.__ ______ __.! ( Search )
`
`• PageRank Technology : PageRank reflects our view of the importance of web pages by
`considering more than 500 million variables and 2 billion terms. Pages that we believe are
`important pages receive a higher PageRank and are more likely to appear at the top of the
`search results.
`
`PageRank also considers the importance of each page that casts a vote, as votes from some
`pages are considered to have greater value, thus giving the linked page greater value. We
`have always taken a pragmatic approach to help improve search quality and create useful
`products , and our technology uses the collective intelligence of the web to determine a
`page's importance.
`
`• Hypertext-Matching Analysis: Our search engine also analyzes page content. However.
`instead of simply scanning for page-based text (which can be manipulated by site publishers
`through meta-tags), our technology analyzes the full content of a page and factors in fonts.
`subdivisions and the precise location of each word. We also analyze the content of
`neighbming web pages to ensure the results returned are the most relevant to a user's query.
`
`Our innovations don't stop at the desktop. To give people access to the information they need ,
`whenever and wherever they need it, we continue to develop new mobile applications and services
`that are more accessible and customizable. And we're partnering with industry-leading carriers and
`device manufacturers to deliver these innovative services globally. We're working with many of
`these ind ustry leaders through the Open Handset Alliance to develop Android, the first complete,
`open, and free mobile platform, which will offer people a less expensive and better mobile
`experience.
`
`EXHIBIT 2076
`Facebook, Inc. et at.
`v.
`Software Rights Archive, LLC
`CASE IPR2013-00480
`
`

`

`5/15/2014
`
`Corporate Information - Technology Overview
`Life of a Google Query
`The life span of a Google query normally lasts less than half a second, yet involves a number of
`different steps that must be completed before results can be delivered to a person seeking
`information.
`
`3. The search
`results are
`returned to the
`user in a fraction
`of a second.
`
`
`
` 1. The web server sends the query to the index
`servers. The content inside the index servers is
`similar to the index in the back of a book - it tells
`which pages contain the words that match the
`query.
`
`2.The query travels to the doc
`servers, which actually retrieve
`the stored documents. Snippets
`are generated to describe each
`search result.
`
`
`
`©2010 Google - Home - About Google - Privacy Policy - Terms of Service
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`https://web.archive.org/web/20100430212247/http://www.google.com/corporate/tech.html
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