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PageRank
PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. PageRank was named after Larry Page, one of the founders
Topic-Sensitive PageRank
Topic-Sensitive PageRank (commonly referred to as TSPR) is a context-sensitive ranking algorithm for web search developed by Taher Haveliwala while at
Larry Page
the world, with a net worth of $51.3 billion. Page is the inventor of PageRank, a well-known search ranking algorithm for Google. Page received the Marconi
Search engine optimization
number calculated by the algorithm, PageRank, is a function of the quantity and strength of inbound links. PageRank estimates the likelihood that a given
Google Search
returned by Google is based, in part, on a priority rank system called "PageRank". Google Search also provides many different options for customized search
CheiRank
directed network with the inverted directions of links. It is similar to the PageRank vector, which ranks the network nodes in average proportionally to a number
Backlink
engines like Google evaluate in order to estimate how important the page is. PageRank calculates the score for each web page based on how all the web pages are
TrustRank
perceived importance of a document through complex linking schemes. Google's PageRank and other search ranking algorithms have been subjected to such manipulation
Search engine optimization metrics
of the search results. Google PageRank (PR) is a measure from 0 - 10. Google PageRank is based on backlinks. PageRank works by counting the number and
Domain Authority
SERP page set the PageRank in the context of a specific keyword. In a less competitive subject area, even websites with a low PageRank can achieve high