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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.
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.
Google Search uses algorithms to analyze and rank websites based on their relevance to the search query. It is the most popular search engine worldwide. Google Search is the most-visited website in the world. As of 2020, Google Search has a 92% share of the global search engine market. [3]
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]
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.
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 ...
Google PageRank of the main English Wikipedia homepage: . 22 October 2002, 41/100(www.wikipedia.org) 3 November 2002, 7/10 1 December 2002, 8/10 10 January 2003, 8/10 15 March 2003, 7/10 (perhaps Google's algorithm was changed?) 12 April 2003, 7/10 30 May 2003, 7/10 2 October 2003, 8/10 7 November 2003, 8/10 30 January 2004, 8/10 22 October 2004, 8/10 24 December 2004, 8/10 2 July 2005, 9/10 ...
Google's PageRank and other search ranking algorithms have been subjected to such manipulation. TrustRank seeks to combat spam by filtering the web based upon reliability. The method calls for selecting a small set of seed pages to be evaluated by an expert.