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A simple illustration of the Pagerank algorithm. The percentage shows the perceived importance, and the arrows represent hyperlinks. 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 ...
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.
Ranking of query is one of the fundamental problems in information retrieval (IR), [1] the scientific/engineering discipline behind search engines. [2] Given a query q and a collection D of documents that match the query, the problem is to rank, that is, sort, the documents in D according to some criterion so that the "best" results appear early in the result list displayed to the user.
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.
Kleinberg is best known for his work on networks.One of his best-known contributions is the HITS algorithm, developed while he was at IBM.HITS is an algorithm for web search that builds on the eigenvector-based methods used in algorithms and served as the full-scale model for PageRank by recognizing that web pages or sites should be considered important not only if they are linked to by many ...
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.
Hyperlink-Induced Topic Search (HITS; also known as hubs and authorities) is a link analysis algorithm that rates Web pages, developed by Jon Kleinberg.The idea behind Hubs and Authorities stemmed from a particular insight into the creation of web pages when the Internet was originally forming; that is, certain web pages, known as hubs, served as large directories that were not actually ...
The mathematical website interlinking that the PageRank algorithm facilitates, illustrated by size-percentage correlation of the circles. The algorithm was named after Page himself. By early 1997, the BackRub page described the state as follows: "Some Rough Statistics (from August 29, 1996) Total indexable HTML URLs: 75.2306 Million