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PageRank is a way of measuring the importance of website pages. According to Google: 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]
TrustRank is an algorithm that conducts link analysis to separate useful webpages from spam and helps search engine rank pages in SERPs (Search Engine Results Pages). It is semi-automated process which means that it needs some human assistance in order to function properly.
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.
A simple illustration of the Pagerank algorithm. Percentage shows the perceived importance. The leading search engines, such as Google, Bing, and Yahoo!, use crawlers to find pages for their algorithmic search results. Pages that are linked from other search engine-indexed pages do not need to be submitted because they are found automatically ...
[3] [4] PageRank calculates the score for each web page based on how all the web pages are connected among themselves, and is one of the variables that Google Search uses to determine how high a web page should go in search results. [5] This weighting of backlinks is analogous to citation analysis of books, scholarly papers, and academic journals.
If their relative mass value exceeds the threshold, the documents are considered to be spam. A second threshold for the PageRank values of the selected documents is applied. Only high PageRank documents are labelled as spam. The purpose of the methodology is to identify spam documents with artificially inflated PageRank values.
Quality Score is a metric used by Google, [1] Yahoo! [ 2 ] (called Quality Index ), Facebook [ 3 ] (called Ad Quality) and Bing [ 4 ] that influences the ad rank and cost per click (CPC) of ads. To determine the position of the ad on a search engine, each ad is allocated using a process which takes into account the bid and the Quality Score.
HITS, like Page and Brin's PageRank, is an iterative algorithm based on the linkage of the documents on the web. However it does have some major differences: It is processed on a small subset of ‘relevant’ documents (a 'focused subgraph' or base set), instead of the set of all documents as was the case with PageRank.
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