How does Google search work? | Launchers and seekers

How does Google search work? | Launchers and seekers

Google's search turned 20 in September. The search engine has undergone several changes since the launch of the system in 1998. To maintain the company's goal of "organizing the world's information", Google uses crawlers, indexers, algorithms and technological intelligence to find sites that have the better content for the user. This process starts even before you type something in the search field and click "Search". To do this accurately and quickly, hundreds of billions of Internet pages are automatically analyzed and the results appear in about half a second.

Even without revealing the exact number, the use of the page reaches home to the trails. In addition, the autocomplete feature optimizes the procedure and saves about 200 years of typing per day. To explain more about how Google's work system works in its search tool, dnetc listed three key points for the Search Giant to achieve its results.

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Google turns 20 with an increasingly smarter system Photo: Aline Batista / dnetcGoogle turns 20 with an increasingly smarter system Photo: Aline Batista / dnetc

Google turns 20 with an increasingly smarter system Photo: Aline Batista / dnetc

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1. Tracking and classification

Contrary to what it may seem, when searching the site, the user does not receive content from all over the Internet. The search is done on the index that Google managed to catalog through its own mechanisms. In practice, it is almost impossible to find a result, as there are millions of pages organized for each consultation in this kind of library, with information considered relevant.

To create this huge catalog, Google uses software called crawlers and indexers. These systems are responsible for tracking, finding and storing pages, identifying their contents and creating records in an organized manner. The objective is to optimize the process and offer more and more assertive responses for a particular user interest.

These tools are also able to link the sites through the links that direct each other and thus create a network of millions of interconnected sites and stored on thousands of machines. According to the Search Giant, this index is more than one hundred million gigabytes in size.

Google algorithms create an interconnected network of websites to show accurate results Photo: Reproduo / dnetcGoogle algorithms create an interconnected network of websites to show accurate results Photo: Reproduo / dnetc

Google algorithms create an interconnected network of websites to show accurate results Photo: Reproduo / dnetc

As new pages are published all the time, the number of records keeps growing, which demands more work from the indexing robots and a greater refinement of searches. In the face of so much content, other automatic tools are used to find the most interesting content.

2. Search algorithms

When typing a term in Google, robotic algorithms analyze several factors in the classified items until they find the best result to display to the user. Items such as the quality of the site, time of existence, origin, number of keywords searched in the text, presence of synonyms, among others, are examined.

These algorithms are adjusted and reviewed by more than 10,000 employees, known as Research Quality Assessors. They follow a set of guidelines for assessing the need for investigation, in which three topics are considered: urgency, relevance and authority. In the case of news sites, for example, new stories can be added to the index within seconds after publication.

Google searches billions of Internet addresses to display the best search results Photo: Reproduo / Google

Google searches billions of Internet addresses to display the best search results Photo: Reproduo / Google

The algorithms even evaluate the location of keywords within the text, as in the title, header or URL, for example, each position contributes to the determination of results. Some companies use SEO techniques (Search Engine Optimization, or Search Engine Optimization, in Portuguese) to improve their texts in order to receive a better ranking from Google.

The platform also examines the PageRank of each page, a specific formula to assess the importance of the site according to the number of external links directed to it, the process previously carried out by the indexers. The more links from reliable addresses the site has directed to you, the better the position in the ranking.

The combination of all these requirements will show the best results on the screen. The company guarantees that the search is impartial and does not accept payment to track and include sites in the index or improve the ranking of pages in the list, other than in the form of advertisements, with differentiated marking, and presented according to the terms searched.

3. Intelligence in results

To deliver accurate results, Google has developed technologies capable of detecting the user's search language and location, deciphering strings of words, completing sentences, interpreting typos, applying synonyms and identifying whether the search is broad or refined.

The engines are also able to find out if the page contains various items corresponding to the words searched, and not only repeat the search terms to avoid being literal. In addition to interpreting the research context according to what is new in the world at that time.

Google has an intelligent system capable of identifying exactly the user's search Photo: Reproduo / GoogleGoogle has an intelligent system capable of identifying exactly the user's search Photo: Reproduo / Google

Google has an intelligent system capable of identifying exactly the user's search Photo: Reproduo / Google

Likewise, the platform is concerned with showing really useful answers to those interested. Thousands of engineers and scientists work so that, when you do research on "climate", responses with weather forecasts, for example, are displayed. The same occurs with routes on the map, game results, locations of developments and day-to-day services.

Google claims to process trillions of searches every year 15% comes from daily unpaid queries and works on ongoing quality tests and investments in search results.

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