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The software used for Google search technology conducts a series of simultaneous calculations requiring only a fraction of a second. Traditional search engines rely heavily on how often a word appears on a web page. Google uses more than 200 signals, including patented PageRank algorithm, to examine the entire link structure of the web and determine which pages are most important.It then conduct hypertext-matching analysis to determine which pages are relevant to the specific search being conducted. By combining overall importance and query-specific relevance, google become able to put the most relevant and reliable results first.
PageRank Technology:- PageRank reflects 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.
Hypertext-Matching Analysis:- Google 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), technology analyzes the full content of a page and factors in fonts, subdivisions and the precise location of each word. It also analyze the content of neighboring web pages to ensure the results returned are the most relevant to a user's query. |
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