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  2. PageRank - Wikipedia

    en.wikipedia.org/wiki/PageRank

    PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder Larry Page . PageRank is a way of measuring the importance of website pages.

  3. Google matrix - Wikipedia

    en.wikipedia.org/wiki/Google_matrix

    Fig.1. Google matrix of Wikipedia articles network, written in the bases of PageRank index; fragment of top 200 X 200 matrix elements is shown, total size N=3282257 (from [1]) A Google matrix is a particular stochastic matrix that is used by Google's PageRank algorithm. The matrix represents a graph with edges representing links between pages.

  4. RankBrain - Wikipedia

    en.wikipedia.org/wiki/RankBrain

    In a 2015 interview, Google commented that RankBrain was the third most important factor in the ranking algorithm, after with links and content, [2] [3] out of about 200 ranking factors. [4] whose exact functions in the Google algorithm are not fully disclosed. As of 2015, "RankBrain was used for less than 15% of queries."

  5. Ranking (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Ranking_(information...

    Google’s PageRank algorithm was developed in 1998 by Google’s founders Sergey Brin and Larry Page and it is a key part of Google’s method of ranking web pages in search results. [7] All the above methods are somewhat similar as all of them exploit the structure of links and require an iterative approach. [8]

  6. Search engine optimization metrics - Wikipedia

    en.wikipedia.org/wiki/Search_engine_optimization...

    Google PageRank (Google PR) is one of the methods Google uses to determine a page's relevance or importance. Important pages receive a higher PageRank and are more likely to appear at the top of the search results. Google PageRank (PR) is a measure from 0 - 10. Google PageRank is based on backlinks.

  7. TrustRank - Wikipedia

    en.wikipedia.org/wiki/TrustRank

    Today, this algorithm is a part of major web search engines like Yahoo! and Google. [2] One of the most important factors that help web search engine determine the quality of a web page when returning results are backlinks. Search engines take a number and quality of backlinks into consideration when assigning a place to a certain web page in ...

  8. Google Panda - Wikipedia

    en.wikipedia.org/wiki/Google_Panda

    Google Panda is a major change to Google's search results ranking algorithm that was first released in February 2011. The change aimed to lower the rank of "low-quality sites" or "thin sites", [1] in particular "content farms", [2] and return higher-quality sites near the top of the search results.

  9. Google Penguin - Wikipedia

    en.wikipedia.org/wiki/Google_Penguin

    Google Penguin is a codename [1] for a Google algorithm update that was first announced on April 24, 2012. The update was aimed at decreasing search engine rankings of websites that violate Google's Webmaster Guidelines [2] by using now declared Grey Hat SEM techniques involved in increasing artificially the ranking of a webpage by manipulating the number of links pointing to the page.

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