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2. PageRank - Wikipedia

   en.wikipedia.org/wiki/PageRank

   PageRank is Google's indication of its assessment of the reputation of a webpage: It is non-keyword specific. Google uses a combination of webpage and website authority to determine the overall authority of a webpage competing for a keyword. [47] The PageRank of the HomePage of a website is the best indication Google offers for website ...

3. Search engine optimization metrics - Wikipedia

   en.wikipedia.org/wiki/Search_engine_optimization...

   Google PageRank (PR) is a measure from 0 - 10. Google PageRank is based on backlinks. 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]

4. Google matrix - Wikipedia

   en.wikipedia.org/wiki/Google_matrix

   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.

5. Google Search - Wikipedia

   en.wikipedia.org/wiki/Google_Search

   Google's rise was largely due to a patented algorithm called PageRank which helps rank web pages that match a given search string. [34] When Google was a Stanford research project, it was nicknamed BackRub because the technology checks backlinks to determine a site's importance.

6. Kaltix - Wikipedia

   en.wikipedia.org/wiki/Kaltix

   Kaltix was a startup company that was formed to commercialize personalized web search technology [4] by utilizing a set of proprietary algorithms.The company had developed a system to speed up the computation of Google's PageRank algorithm and personalize search results by sorting them according to the interests of the individual instead of the consensus approach developed by Google.

7. Webgraph - Wikipedia

   en.wikipedia.org/wiki/Webgraph

   The webgraph is used for: computing the PageRank [5] of the world wide web's pages;; computing the personalized PageRank; [6] detecting webpages of similar topics, through graph-theoretical properties only, like co-citation; [7]