Once Google has said that the secret to the stunning performance of its search engine lies in the use of conventional gray pigeons, which in fact was an April Fool's joke once.
It is estimated that during 2007, Google processed 37 billion monthly searches, while Yahoo! - 8,5 billion queries, a Microsoft - 2,2 billion. Today, the vast majority of people to search for.
Information is drawn to the Internet, and often many times a day. Yet few people understand how it works search engine.
In a simplified form of the algorithm for its looks like this.
step 1. Enter a word or set of words in the search box, and finds them in the car she had created a database, establishing communication with them. From the beginning, Larry and Sergey goal was to maintain in its database all the Web pages. The company and to this day does this, and also covers many other sources of information.
step 2. The machine begins to search, with search engine uses its three key elements. Here they are.
a. The so-called ... Instead, he sends out thousands of web pages the search query by keywords. Usually it is called ...
2. Index - a huge database that stores all the words are found, and.
3. Query processing system, which gives the user the results.
It is clear that the above rough scheme does not explain exactly how unique Google search technology. This is a - jealously guarded by professional secrecy. It is true that. Larry Page. The author of the original ideas, yet gives us some clues for understanding what actually.
Soon after he settled at Stanford, Larry began to consult regularly on his doctoral thesis with the supervisor Terry Winograd, discussing the direction of research. ... - The problem we have seen is to collect all links and analyze them, and then decide whether you can find what ever application of this. As a result, we came upon a way to rank web pages in order of importance, starting from the number of references to them are present on other pages. And then realized that on the basis of this principle, you can create a more effective search engine. They took and made it ...
On the Google page you can find a more detailed explanation:.
Instead of relying on the help of editors or how often a word appears on a webpage, Google ranks every web country with PageRank... Revolution PageRank evaluates all of the sites linked to this web page, and awards them the importance, in part based on sites . Through analysis of the content of Web pages, Google can determine which sites are for those who are most interested in this information, ...
As already mentioned, a program that does the Google search engine 's unique compared to all others, Larry called his name. The idea behind it is similar to that which operates in academic research. The bottom line is that the importance of scientific publications is determined by how many times it referred to a solid academic publications. The more often referred to colleagues in their work on this publication, the more significance and relevance, it becomes.
And on the corporate page of Google explained how this process is complicated:.
PageRank relies on the democratic nature of the web, using a system of reference as an indicator of the value of a single page. Instead of counting direct links, PageRank considers a link from page A to page B as a vote for Page B by Page A. Then the number of votes received determines the importance of PageRank of the page. PageRank evaluates the importance of each page, taking part in the voting. Upon receipt of votes from the pages of more importance is becoming more valuable reference. Search engine Google, like other systems that also analyzes the content of the page on which the one or the other link. The search engine Google analyzes not only the entire contents of the page. but also the content of neighboring web pages to ensure that the results most closely match the user's request.
But this is only part of the protocol. No matter how hard it is to imagine, but the PageRank for objective assessment of the significance of web pages allows for more than 500 million variables and three billion of the terms and yet manages to give the result of a second. Still, the search algorithm is significantly simplified.
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