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Technology OverviewWe stand alone in our focus on developing the perfect search engine, defined by cofounder Larry Page as something that, understands exactly what you want. To that end, we have persistently pursued innovation and refused to accept the limitations of existing models. Snippets are generated to describe each search result. PageRank Technology PageRank reflects our view of the importance of each page that casts vote, as votes from some pages are considered to have greater value, thus giving the linked page greater value. HypertextMatching Analysis Our search engine also analyzes page content.

Snippets are generated to describe each search result. PageRank Technology PageRank reflects our view of the importance of web pages by considering more than million variables and billion terms. By combining overall importance and queryspecific relevance, were able to put the relevant and reliable results first. The content inside the index servers is similar to the index in the back of book it tells which pages contain the words that match the query.

The search results are returned to the user in fraction of second. And were partnering with industryleading carriers and device manufacturers to deliver these innovative services globally. However, instead of simply scanning for pagebased text which can be manipulated by site publishers through metatags, our technology analyzes the full content of page and factors in fonts, subdivisions and the precise location of each word. Pages that we believe are important pages receive higher PageRank and are more likely to appear at the top of the search results.

Traditional search engines rely heavily on how often word appears on web page. We have always taken pragmatic approach to help improve search quality and create useful products, and our technology uses the collective intelligence of the web and determine which pages are important. And were partnering with industryleading carriers and device manufacturers to deliver these innovative services globally. However, instead of simply scanning for pagebased text which can be manipulated by site publishers through metatags, our technology analyzes the full content of page and factors in fonts, subdivisions and the precise location of each word.

Pages that we believe are important pages receive higher PageRank and are more likely to appear at the top of the search results. PageRank also considers the importance of web pages by considering more than million variables and billion terms. We also analyze the content of neighboring web pages to ensure the results returned are the relevant to users query.. The query travels to the doc servers, which actually retrieve the stored documents.
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