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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. According to Google:
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.
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 ...
Google's rise was largely due to a patented algorithm called PageRank which helps rank web pages that match a given search string. [35] When Google was a Stanford research project, it was nicknamed BackRub because the technology checks backlinks to determine a site's importance.
PageSpeed Insights (PSI) is a free tool from Google that analyzes the performance of a web page on both mobile and desktop devices. It provides suggestions on how to improve the page's speed and overall user experience. Data and Metrics. PSI utilizes two main types of data:
The quantity, quality, and relevance of backlinks for a web page are among the factors that search engines like Google evaluate in order to estimate how important the page is. [3] [4] PageRank calculates the score for each web page based on how all the web pages are connected among themselves, and is one of the variables that Google Search uses ...
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.
PageRank estimates the likelihood that a given page will be reached by a web user who randomly surfs the web and follows links from one page to another. In effect, this means that some links are stronger than others, as a higher PageRank page is more likely to be reached by the random web surfer. Page and Brin founded Google in 1998. [16]
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