Showing posts with label search engine ranking. Show all posts
Showing posts with label search engine ranking. Show all posts
Monday, February 9, 2009
Search Engine Ranking Deep Secrets pt 3-3 (Search Engine Ranking)
Search Engine Ranking Deep Secrets pt 3-3 (Search Engine Ranking)
http://www.internetmarketingdeepsecrets.com Search Engine Ranking Deep Secrets pt 3-3 (Search Engine Ranking) search engine ranking, search engine rank, search engine rankings, search engine ranks, web site ranking, engine rank search, better search engine ranking, improve search engine ranking, improved search engine ranking, web ranking, higher search engine ranking, engine higher ranking search, higher search engine rankings, improve search engine rankings, improve search engine rank, higher search engine rank, engine improve rank search, improved search engine rank, engine higher rank search, better search engine rank, better engine rank search, engine improved rank search, search engine ranking company, seo ranking, page ranking, increase page ranking, google page ranking, search engine ranking, google search engine ranking, top search engines, website ranking, improve search engine ranking, increase search engine ranking, search engine optimization, seo, page rank, marketing, search engine, advertising, seo, agency marketing, internet marketing, affiliate, marketing network, marketing campaign, campaign marketing, engine marketing, internet search engine, adsense, search engine marketing, mortgage marketing, marketing mortgage, ppc, search engine ranking, marketing services, online marketing, management marketing, marketing strategy, email marketing, estate marketing real, seo services, network marketing, sem, affiliate program, search engine rank, marketing blog, blog marketing, marketing service, insurance marketing, international marketing, site marketing, web site marketing, search engine rankings, better search engine, internet advertising, search engine ranks, search engine positioning, web, pay per click, computer sales marketing, computer marketing sales, marketing strategies, business marketing, optimization, online marketing group, group marketing online,
http://www.internetmarketingdeepsecrets.com
PageRank - Wikipedia, the free encyclopedia
As links from higher-PR pages are believed to be more valuable, ... A page ranking model that reflects the importance of a particular
http://en.wikipedia.org/wiki/PageRank
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Search Engine Ranking Deep Secrets pt 2-3 (Search Engine Ranking)
Search Engine Ranking Deep Secrets pt 2-3 (Search Engine Ranking)
http://www.internetmarketingdeepsecrets.com Search Engine Ranking Deep Secrets pt 2-3 (Search Engine Ranking) search engine ranking, search engine rank, search engine rankings, search engine ranks, web site ranking, engine rank search, better search engine ranking, improve search engine ranking, improved search engine ranking, web ranking, higher search engine ranking, engine higher ranking search, higher search engine rankings, improve search engine rankings, improve search engine rank, higher search engine rank, engine improve rank search, improved search engine rank, engine higher rank search, better search engine rank, better engine rank search, engine improved rank search, search engine ranking company, seo ranking, page ranking, increase page ranking, google page ranking, search engine ranking, google search engine ranking, top search engines, website ranking, improve search engine ranking, increase search engine ranking, search engine optimization, seo, page rank, marketing, search engine, advertising, seo, agency marketing, internet marketing, affiliate, marketing network, marketing campaign, campaign marketing, engine marketing, internet search engine, adsense, search engine marketing, mortgage marketing, marketing mortgage, ppc, search engine ranking, marketing services, online marketing, management marketing, marketing strategy, email marketing, estate marketing real, seo services, network marketing, sem, affiliate program, search engine rank, marketing blog, blog marketing, marketing service, insurance marketing, international marketing, site marketing, web site marketing, search engine rankings, better search engine, internet advertising, search engine ranks, search engine positioning, web, pay per click, computer sales marketing, computer marketing sales, marketing strategies, business marketing, optimization, online marketing group, group marketing online,
http://www.internetmarketingdeepsecrets.com
PageRank - Wikipedia, the free encyclopedia
As links from higher-PR pages are believed to be more valuable, ... A page ranking model that reflects the importance of a particular
http://en.wikipedia.org/wiki/PageRank
page ranking
increase page ranking
google page ranking
search engine ranking
google search engine ranking
top search engines
website ranking
improve search engine ranking
increase search engine ranking
search engine optimization
seo
page rank
what is my page rank
increase page rank
future page rank
find page rank
yahoo page rank
improve page rank
site rank
link popularity
Tags: search engine ranking search engine rank search engine rankings search engine ranks web site ranking engine rank search web ranking
Page Ranking Deep Secrets (Google page ranking)
Page Ranking Deep Secrets (Google page ranking)
http://www.internetmarketingdeepsecrets.com Page Ranking Deep Secrets (Google page ranking), page ranking, increase page ranking, google page ranking, search engine ranking, google search engine ranking, top search engines, website ranking, improve search engine ranking, increase search engine ranking, search engine optimization, seo, page rank, marketing, search engine, advertising, seo, agency marketing, internet marketing, affiliate, marketing network, marketing campaign, campaign marketing, engine marketing, internet search engine, adsense, search engine marketing, mortgage marketing, marketing mortgage, ppc, search engine ranking, marketing services, online marketing, management marketing, marketing strategy, email marketing, estate marketing real, seo services, network marketing, sem, affiliate program, search engine rank, marketing blog, blog marketing, marketing service, insurance marketing, international marketing, site marketing, web site marketing, search engine rankings, better search engine, internet advertising, search engine ranks, search engine positioning, web, pay per click, computer sales marketing, computer marketing sales, marketing strategies, business marketing, optimization, online marketing group, group marketing online,Tags: page ranking increase page ranking google page ranking search engine ranking top search engines website ranking seo page rank marketing search engine advertising agency marketing
Saturday, January 31, 2009
PageRank From Wikipedia
PageRank is a link analysis algorithm used by the Google Internet search engine that assigns a numerical weighting to each element of a hyperlinked set 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 also called the PageRank of E and denoted by PR(E).
The name "PageRank" is a trademark of Google, and the PageRank process has been patented (U.S. Patent 6,285,999 ). 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 1.8 million shares in Google in exchange for use of the patent; the shares were sold in 2005 for $336 million.
Mathematical PageRanks (out of 100) for a simple network (PageRanks reported by Google are rescaled logarithmically). Page C has a higher PageRank than Page E, even though it has fewer links to it: the link it has is much higher valued. A web surfer who chooses a random link on every page (but with 15% likelihood jumps to a random page on the whole web) is going to be on Page E for 8.1% of the time. (The 15% likelihood of jumping to an arbitrary page corresponds to a damping factor of 85%.) Without damping, all web surfers would eventually end up on Pages A, B, or C, and all other pages would have PageRank zero. Page A is assumed to link to all pages in the web, because it has no outgoing links.
Google describes PageRank:
“ PageRank relies on the uniquely democratic nature of the web by using its vast link structure as an indicator of an individual page's value. In essence, Google interprets a link from page A to page B as a vote, by page A, for page B. But, Google looks at more than the sheer volume of votes, or links a page receives; it also analyzes the page that casts the vote. Votes cast by pages that are themselves "important" weigh more heavily and help to make other pages "important". ”
In other words, a PageRank results from a "ballot" among all the other pages on the World Wide Web about how important a page is. A hyperlink to a page counts as a vote of support. The PageRank of a page is defined recursively and depends on the number and PageRank metric of all pages that link to it ("incoming links"). A page that is linked to by many pages with high PageRank receives a high rank itself. If there are no links to a web page there is no support for that page.
Google assigns a numeric weighting from 0-10 for each webpage on the Internet; this PageRank denotes a site’s importance in the eyes of Google. The PageRank is derived from a theoretical probability value on a logarithmic scale like the Richter Scale. The PageRank of a particular page is roughly based upon the quantity of inbound links as well as the PageRank of the pages providing the links. It is known that other factors, e.g. relevance of search words on the page and actual visits to the page reported by the Google toolbar also influence the PageRank. In order to prevent manipulation, spoofing and Spamdexing, Google provides no specific details about how other factors influence PageRank.
Numerous academic papers concerning PageRank have been published since Page and Brin's original paper.[2] In practice, the PageRank concept has proven to be vulnerable to manipulation, and extensive research has been devoted to identifying falsely inflated PageRank and ways to ignore links from documents with falsely inflated PageRank.
Other link-based ranking algorithms for Web pages include the HITS algorithm invented by Jon Kleinberg (used by Teoma and now Ask.com), the IBM CLEVER project, and the TrustRank algorithm.
The name "PageRank" is a trademark of Google, and the PageRank process has been patented (U.S. Patent 6,285,999 ). 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 1.8 million shares in Google in exchange for use of the patent; the shares were sold in 2005 for $336 million.
Mathematical PageRanks (out of 100) for a simple network (PageRanks reported by Google are rescaled logarithmically). Page C has a higher PageRank than Page E, even though it has fewer links to it: the link it has is much higher valued. A web surfer who chooses a random link on every page (but with 15% likelihood jumps to a random page on the whole web) is going to be on Page E for 8.1% of the time. (The 15% likelihood of jumping to an arbitrary page corresponds to a damping factor of 85%.) Without damping, all web surfers would eventually end up on Pages A, B, or C, and all other pages would have PageRank zero. Page A is assumed to link to all pages in the web, because it has no outgoing links.
Google describes PageRank:
“ PageRank relies on the uniquely democratic nature of the web by using its vast link structure as an indicator of an individual page's value. In essence, Google interprets a link from page A to page B as a vote, by page A, for page B. But, Google looks at more than the sheer volume of votes, or links a page receives; it also analyzes the page that casts the vote. Votes cast by pages that are themselves "important" weigh more heavily and help to make other pages "important". ”
In other words, a PageRank results from a "ballot" among all the other pages on the World Wide Web about how important a page is. A hyperlink to a page counts as a vote of support. The PageRank of a page is defined recursively and depends on the number and PageRank metric of all pages that link to it ("incoming links"). A page that is linked to by many pages with high PageRank receives a high rank itself. If there are no links to a web page there is no support for that page.
Google assigns a numeric weighting from 0-10 for each webpage on the Internet; this PageRank denotes a site’s importance in the eyes of Google. The PageRank is derived from a theoretical probability value on a logarithmic scale like the Richter Scale. The PageRank of a particular page is roughly based upon the quantity of inbound links as well as the PageRank of the pages providing the links. It is known that other factors, e.g. relevance of search words on the page and actual visits to the page reported by the Google toolbar also influence the PageRank. In order to prevent manipulation, spoofing and Spamdexing, Google provides no specific details about how other factors influence PageRank.
Numerous academic papers concerning PageRank have been published since Page and Brin's original paper.[2] In practice, the PageRank concept has proven to be vulnerable to manipulation, and extensive research has been devoted to identifying falsely inflated PageRank and ways to ignore links from documents with falsely inflated PageRank.
Other link-based ranking algorithms for Web pages include the HITS algorithm invented by Jon Kleinberg (used by Teoma and now Ask.com), the IBM CLEVER project, and the TrustRank algorithm.
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