Google Docs Viewer Api Q Parameter

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Background Setup SAP Cloud Platform SAP Search API Base Twitter API setup Collecting Community Data and Tweeting from the SAP Cloud Platform. Joomla/ARI_DocsViewer/konfiguratsiya_plagina_ARI_Docs_Viewer.PNG' alt='Google Docs Viewer Api Q Parameter' title='Google Docs Viewer Api Q Parameter' />Page. Rank Wikipedia. This article needs to be updated. Please update this article to reflect recent events or newly available information. January 2. Mathematical Page. Integrating CUCM and Active Directory can make administration much easier. Correct configuration may help you to automate new phone registration in the future. The WordPress Google Form aka wpGForm plugin allows a Google Docs Form to be embedded into WordPress posts, pages, and widgets. Form are defined through a Custom. TortoiseSVN is a free opensource Windows client for the Apache Subversion version control system. That is, TortoiseSVN manages files and directories over. R ist eine freie Programmiersprache fr statistische Berechnungen und Grafiken. Sie wurde von Statistikern fr Anwender mit statistischen Aufgaben entwickelt. Ranks for a simple network, expressed as percentages. Google uses a logarithmic scale. Page C has a higher Page. Rank than Page E, even though there are fewer links to C the one link to C comes from an important page and hence is of high value. If web surfers who start on a random page have an 8. Page E 8. 1 of the time. The 1. 5 likelihood of jumping to an arbitrary page corresponds to a damping factor of 8. Without damping, all web surfers would eventually end up on Pages A, B, or C, and all other pages would have Page. Rank zero. In the presence of damping, Page A effectively links to all pages in the web, even though it has no outgoing links of its own. Page. Rank PR is an algorithm used by Google Search to rank websites in their search engine results. Google Docs Viewer Api Q Parameter' title='Google Docs Viewer Api Q Parameter' />Google Docs Viewer Api Q ParameterPage. Rank was named after Larry Page,1 one of the founders of Google. Page. Rank is a way of measuring the importance of website pages. According to Google Page. Rank 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. It is not the only algorithm used by Google to order search engine results, but it is the first algorithm that was used by the company, and it is the best known. Descriptionedit. Cartoon illustrating the basic principle of Page. Rank. The size of each face is proportional to the total size of the other faces which are pointing to it. Screen-Shot-2015-07-08-at-12.36.40-PM-1024x741.png' alt='Google Docs Viewer Api Q Parameter' title='Google Docs Viewer Api Q Parameter' />Page. Rank is a link analysis algorithm and it assigns a numerical weighting to each element of a hyperlinkedset of documents, such as the World Wide Web, with the purpose of measuring its relative importance within the set. The algorithm may be applied to any collection of entities with reciprocal quotations and references. The numerical weight that it assigns to any given element E is referred to as the Page. Rank of E and denoted by PRE. PRE. Other factors like Author Rank can contribute to the importance of an entity. A Page. Rank results from a mathematical algorithm based on the webgraph, created by all World Wide Web pages as nodes and hyperlinks as edges, taking into consideration authority hubs such as cnn. The rank value indicates an importance of a particular page. A hyperlink to a page counts as a vote of support. The Page. Rank of a page is defined recursively and depends on the number and Page. CoZ4MmGXgAAM61J.jpg' alt='Google Docs Viewer Api Q Parameter' title='Google Docs Viewer Api Q Parameter' />Rank metric of all pages that link to it incoming links. A page that is linked to by many pages with high Page. Rank receives a high rank itself. Numerous academic papers concerning Page. Rank have been published since Page and Brins original paper. In practice, the Page. Rank concept may be vulnerable to manipulation. Research has been conducted into identifying falsely influenced Page. Rank rankings. The goal is to find an effective means of ignoring links from documents with falsely influenced Page. Rank. 6Other link based ranking algorithms for Web pages include the HITS algorithm invented by Jon Kleinberg used by Teoma and now Ask. IBM CLEVER project, the Trust. Rank algorithm and the hummingbird algorithm. HistoryeditThe eigenvalue problem was suggested in 1. Gabriel Pinski and Francis Narin, who worked on scientometrics ranking scientific journals 7 and in 1. Thomas Saaty in his concept of Analytic Hierarchy Process which weighted alternative choices. Page. Rank was developed at Stanford University by Larry Page and Sergey Brin in 1. Sergey Brin had the idea that information on the web could be ordered in a hierarchy by link popularity A page is ranked higher as there are more links to it. It was co authored by Rajeev Motwani and Terry Winograd. The first paper about the project, describing Page. Rank and the initial prototype of the Google search engine, was published in 1. Page and Brin founded Google Inc., the company behind the Google search engine. While just one of many factors that determine the ranking of Google search results, Page. Rank continues to provide the basis for all of Googles web search tools. The name Page. Rank plays off of the name of developer Larry Page, as well as the concept of a web page. The word is a trademark of Google, and the Page. Rank process has been patented U. S. Patent 6,2. 85,9. However, the patent is assigned to Stanford University and not to Google. Google has exclusive license rights on the patent from Stanford University. The university received 1. Google in exchange for use of the patent the shares were sold in 2. Page. Rank was influenced by citation analysis, early developed by Eugene Garfield in the 1. University of Pennsylvania, and by Hyper Search, developed by Massimo Marchiori at the University of Padua. In the same year Page. Rank was introduced 1. Jon Kleinberg published his important work on HITS. Googles founders cite Garfield, Marchiori, and Kleinberg in their original papers. A small search engine called Rank. Dex from IDD Information Services designed by Robin Li was, since 1. The technology in Rank. Dex was patented by 1. Li founded Baidu in China. Larry Page referenced Lis work in some of his U. S. patents for Page. Rank. 2. 0AlgorithmeditThe Page. Rank algorithm outputs a probability distribution used to represent the likelihood that a person randomly clicking on links will arrive at any particular page. Page. Rank can be calculated for collections of documents of any size. It is assumed in several research papers that the distribution is evenly divided among all documents in the collection at the beginning of the computational process. The Page. Rank computations require several passes, called iterations, through the collection to adjust approximate Page. Rank values to more closely reflect the theoretical true value. A probability is expressed as a numeric value between 0 and 1. A 0. 5 probability is commonly expressed as a 5. Hence, a Page. Rank of 0. Page. Rank. Simplified algorithmeditAssume a small universe of four web pages A, B, C and D. Links from a page to itself, or multiple outbound links from one single page to another single page, are ignored. Page. Rank is initialized to the same value for all pages. In the original form of Page. Rank, the sum of Page. Rank over all pages was the total number of pages on the web at that time, so each page in this example would have an initial value of 1. However, later versions of Page. Rank, and the remainder of this section, assume a probability distribution between 0 and 1. Hence the initial value for each page in this example is 0. The Page. Rank transferred from a given page to the targets of its outbound links upon the next iteration is divided equally among all outbound links. If the only links in the system were from pages B, C, and D to A, each link would transfer 0. Page. Rank to A upon the next iteration, for a total of 0. PRAPRBPRCPRD. displaystyle PRAPRBPRCPRD. Suppose instead that page B had a link to pages C and A, page C had a link to page A, and page D had links to all three pages. How To Install Sendmail On Centos 6. Thus, upon the first iteration, page B would transfer half of its existing value, or 0. A and the other half, or 0. C. Page C would transfer all of its existing value, 0.