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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. 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]

  4. Google matrix - Wikipedia

    en.wikipedia.org/wiki/Google_matrix

    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. The PageRank of each page can then be generated iteratively from the Google matrix using the power method.

  5. 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.

  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. Learning to rank - Wikipedia

    en.wikipedia.org/wiki/Learning_to_rank

    Learning to rank [1] or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. [2] Training data may, for example, consist of lists of items with some partial order specified between items in ...

  8. 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.

  9. Sandbox effect - Wikipedia

    en.wikipedia.org/wiki/Sandbox_effect

    Google has been updating its algorithm for as long as it has been fighting the manipulation of organic search results. However, until May 10, 2012, when Google launched the Google Penguin update, many people wrongly believed low-quality backlinks would not negatively affect a site ranking; Google had been applying such link-based penalties [9] for many years but not made public how the company ...