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PageRank is a way of measuring the importance of website pages. According to Google: PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is. The underlying assumption is that more important websites are likely to receive more links from other websites. [1]
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 PageSpeed is a family of tools by Google, Inc. [1] designed to help optimize website performance. [2] It was introduced at a Developer Conference in 2010. [3] [4] There are four main components of PageSpeed family tools:
A search engine lists web pages on the Internet.This facilitates research by offering an immediate variety of applicable options. Possibly useful items on the results list include the source material or the electronic tools that a web site can provide, such as a dictionary, but the list itself, as a whole, can also indicate important information.
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 ...
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Google's description of its PageRank system (January 1998), for instance, noted that "Google interprets a link from page A to page B as a vote, by page A, for page B." [10] Knowledge of this form of search engine rankings has fueled a portion of the search engine optimization (SEO) industry commonly termed linkspam, where a company attempts to ...
The PageRank algorithm instead analyzes human-generated links assuming that web pages linked from many important pages are also important. The algorithm computes a recursive score for pages, based on the weighted sum of other pages linking to them. PageRank is thought to correlate well with human concepts of importance. In addition to PageRank ...
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