How does google search engine works?

[Wheat]

Hiiiii,

Hello every one can any buddy tell me how does Google search engine work for a website.

I am waiting for your reply.......

[hwang]

Basically sends out what it calls bots or crawler which will move from one link to another gathering content and information. The thing collected will be stored in a database that contains index of all the sites visited and the information. When a person types a query, the search engine will use its algorithm and determine how to present the best result to the user.

[chinabuye786]

Basically its game of keywords.After making the page containing any content.we put some keywords in it.When somebody write keywords in the search , the search engine goes to the list were there the keyword exist.It brings out the list of sites related to the specific keyword.By this procedure the customer is able to get his desired contents.

Chinabuye.com

[cashgold]

It works when every body love it!!!

[iphone repairs]

thanks for such a great topic

[jaikanth123]

Google runs on a distributed network of thousands of low-cost computers and can therefore carry out fast parallel processing. Parallel processing is a method of computation in which many calculations can be performed simultaneously, significantly speeding up data processing. Google has three distinct parts:

• Google-bot, a web crawler that finds and fetches web pages.
• The indexer that sorts every word on every page and stores the resulting index of words in a huge database.
• The query processor, which compares your search query to the index and recommends the documents that it considers most relevant.

Let’s take a closer look at each part.
1. Google bot, Google’s Web Crawler

Google bot is Google’s web crawling robot, which finds and retrieves pages on the web and hands them off to the Google indexer. It’s easy to imagine Google bot as a little spider scurrying across the strands of cyberspace, but in reality Google-bot doesn’t traverse the web at all. It functions much like your web browser, by sending a request to a web server for a web page, downloading the entire page, then handing it off to Google’s indexer.
Google-botconsists of many computers requesting and fetching pages much more quickly than you can with your web browser. In fact, Google bot can request thousands of different pages simultaneously. To avoid overwhelming web servers, or crowding out requests from human users, Googlebot deliberately makes requests of each individual web server more slowly than it’s capable of doing.
2. Google’s Indexer

Googlebot gives the indexer the full text of the pages it finds. These pages are stored in Google’s index database. This index is sorted alphabetically by search term, with each index entry storing a list of documents in which the term appears and the location within the text where it occurs. This data structure allows rapid access to documents that contain user query terms.



3. Google’s Query Processor

The query processor has several parts, including the user interface (search box), the “engine” that evaluates queries and matches them to relevant documents, and the results formatter.Page rank is Google’s system for ranking web pages. A page with a higher PageRank is deemed more important and is more likely to be listed above a page with a lower Page-rank.
Google considers over a hundred factors in computing a Page Rank and determining which documents are most relevant to a query, including the popularity of the page, the position and size of the search terms within the page, and the proximity of the search terms to one another on the page.APatent application discusses other factors that Google considers when ranking a page

[jaikanth123]

Google runs on a distributed network of thousands of low-cost computers and can therefore carry out fast parallel processing. Parallel processing is a method of computation in which many calculations can be performed simultaneously, significantly speeding up data processing. Google has three distinct parts:

• Google-bot, a web crawler that finds and fetches web pages.
• The indexer that sorts every word on every page and stores the resulting index of words in a huge database.
• The query processor, which compares your search query to the index and recommends the documents that it considers most relevant.

Let’s take a closer look at each part.
1. Google bot, Google’s Web Crawler

Google bot is Google’s web crawling robot, which finds and retrieves pages on the web and hands them off to the Google indexer. It’s easy to imagine Google bot as a little spider scurrying across the strands of cyberspace, but in reality Google-bot doesn’t traverse the web at all. It functions much like your web browser, by sending a request to a web server for a web page, downloading the entire page, then handing it off to Google’s indexer.
Google-botconsists of many computers requesting and fetching pages much more quickly than you can with your web browser. In fact, Google bot can request thousands of different pages simultaneously. To avoid overwhelming web servers, or crowding out requests from human users, Googlebot deliberately makes requests of each individual web server more slowly than it’s capable of doing.
2. Google’s Indexer

Googlebot gives the indexer the full text of the pages it finds. These pages are stored in Google’s index database. This index is sorted alphabetically by search term, with each index entry storing a list of documents in which the term appears and the location within the text where it occurs. This data structure allows rapid access to documents that contain user query terms.



3. Google’s Query Processor

The query processor has several parts, including the user interface (search box), the “engine” that evaluates queries and matches them to relevant documents, and the results formatter.Page rank is Google’s system for ranking web pages. A page with a higher PageRank is deemed more important and is more likely to be listed above a page with a lower Page-rank.
Google considers over a hundred factors in computing a Page Rank and determining which documents are most relevant to a query, including the popularity of the page, the position and size of the search terms within the page, and the proximity of the search terms to one another on the page. A Patent application discusses other factors that Google considers when ranking a page

[hwang]

I just wonder where you got the article from. It seems that the author must be an "insider" perhaps since it can even relate in detail about how the se works including on the hardware that google is using. I just wonder how much the cost for the tons of servers there.

[sheva249]

Hey JaiKanth Thanks a lot for sharing the info in beautiful words. Keep the good work continue.