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Search Engine Optimization

Roger Gonzales

PageRank technology

PageRanks technology involves the use of an equation which comprises of millions of variables and terms and determines a factual measurement of the significance of web pages and is calculated by solving an equation of 500 million variables and more than 3 billion terms. Unlike some other search engines, Google does not calculate links but utilizes the extensive link structure of the web as an organizational tool. When the link to a Page, lets say Page B is clicked from a Page A, then that click is attributed as a vote towards Page B on behalf of Page A.

Quintessentially, Google calculates the importance of a page by the number of such ‘votes’ it receives. Not only that, Google also assesses the importance of the pages that are involved in the voting process. Consequently, pages that are themselves ahead in ranking and are important in that way also help to make other pages important. One thing to note here is that Google’s technology does not involve human intervention in anyway and uses the inherent intelligence of the internet and its resources to determine the ranking and importance of any page.

Hypertext-Matching Analysis: Unlike its conventional counterparts, Google is a search engine which is hypertext-based. This means that it analyzes all the content on each web page and factors in fonts, subdivisions, and the exact positions of all terms on the page. Not only that, Google also evaluates the content of its nearest web pages. This policy of not disregarding any subject matter pays off in the end and enables Google to return results that are closest to user queries.

Query-handling – The Google Way
Google has a very simple 3-step procedure in handling a query submitted in its search box.
1. When the query is submitted and the enter key is pressed, the web server sends the query to the index servers. Index server is exactly what its name suggests; it consists of an index much like the index of a book which displays where is the particular page containing the queried term is located in the entire book.
2. After this, the query proceeds to the doc servers, and these servers actually retrieve the stored documents. Page descriptions or “snippets” are then generated to suitably describe each search result.
3. These results are then returned to the user in less than a second!
 


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The Google Dance

Copyright © Roger Gonzales
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