Explore: Pagerank
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Books Results
Source: The Open Library
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Search results from The Open Library
1Google's PageRank and beyond
By Amy N. Langville and Carl D. Meyer
“Google's PageRank and beyond” Metadata:
- Title: Google's PageRank and beyond
- Authors: Amy N. LangvilleCarl D. Meyer
- Language: English
- Number of Pages: Median: 234
- Publisher: Princeton University Press
- Publish Date: 2006 - 2011
“Google's PageRank and beyond” Subjects and Themes:
- Subjects: ➤ Subject access - Ratings - Internet searching - Google - World Wide Web - Mathematics - Web sites - Web search engines - Ratings and rankings - PageRank - Internet - Handbooks, manuals
Edition Identifiers:
- The Open Library ID: OL28998075M - OL29189190M - OL7758995M
- Online Computer Library Center (OCLC) ID: 70663456
- Library of Congress Control Number (LCCN): 2005938841
- All ISBNs: ➤ 0691122024 - 9781400830329 - 9781282458437 - 1282458434 - 140083032X - 9780691122021
First Setence:
"Today we have museums for everythingthe museum of hasehall, of hasehall players, of crazed fans of hasehall players, museums for world wars, national battles, legal fights, and family feuds."
Access and General Info:
- First Year Published: 2006
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: Unclassified
Online Access
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Wiki
Source: Wikipedia
Wikipedia Results
Search Results from Wikipedia
PageRank
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
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
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 searches
analyzed the relationships among websites. They called this algorithm PageRank; it determined a website's relevance by the number of pages, and the importance
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
Google matrix
is used by Google's PageRank algorithm. The matrix represents a graph with edges representing links between pages. The PageRank of each page can then
Nofollow
that hyperlinks with rel="nofollow" would not influence the link target's PageRank. In addition, the Yahoo and Bing search engines also respect this attribute
Michael Jackson
time. The study utilized advanced ranking methods, including 2D Rank and PageRank algorithms, to analyze the impact of historical figures. Jackson was prominently
YouTube
Carbon Dart Go Sawzall Search algorithms Googlebot Hummingbird Mobilegeddon PageRank matrix Panda Penguin Pigeon RankBrain Domain names .app .dev .google .zip