Google search how does it work

We build language models to try to decipher what strings of words we should look up in the index. For example, our synonym system helps Search know what you mean by establishing that multiple words mean the same thing. Beyond synonyms, Search algorithms also try to understand what category of information you are looking for. Is it a very specific search or a broad query? Is the query written in French, suggesting that you want answers in that language?

Or are you searching for a nearby business and want local info? A particularly important dimension of this query categorization is our analysis of whether your query is seeking out fresh content. If you search for trending keywords, our freshness algorithms will interpret that as a signal that up-to-date information might be more useful than older pages. Next, algorithms analyze the content of webpages to assess whether the page contains information that might be relevant to what you are looking for.

The most basic signal that information is relevant is when a webpage contains the same keywords as your search query. If those keywords appear on the page, or if they appear in the headings or body of the text, the information is more likely to be relevant.

Google renders the page and analyzes both the text and non-text content and overall visual layout to decide where it can appear in Search results. The better that Google can understand your site, the better we can match it to people who are looking for your content. After a page is discovered, Google tries to understand what the page is about. This process is called indexing. Google analyzes the content of the page, catalogs images and video files embedded on the page, and otherwise tries to understand the page.

This information is stored in the Google index , a huge database stored in many computers. When a user types a query, Google tries to find the most relevant answer from its index based on many factors. Google's search engine is a powerful tool, but the internet is a big place. It's sometimes hard to find what you're looking for. Nayak and many others throughout the company work with the idea that getting you what you're after — figuring out what you want — is their responsibility, no matter what you type into the search bar.

They study language and intent, incorporate machine learning and artificial intelligence and note every search that is undertaken, all in an effort to make it easier on the user. Nayak has gone through the implementation of spell correction, and the synonym finder, and universal search, which gives users not only web pages that they may be looking for, but photos, videos and more.

When he joined the company, he like many others thought Google worked astoundingly well. But as expectations for the search engine — and the company — have grown, expectations have changed. Or converted. We want to be able to find ways to understand what it is you're looking for All that said, Google can help narrow down what you're looking for with specialized searches. You can browse through different categories that pertain to your keywords, including:.

For example, if you search for the term " Planet Earth " in the news category, the results will include only news articles that contain those keywords. Once your website has been indexed, Google not only knows the website exists, but it has looked through the product pages on your site and understands that you sell 10 different kinds of cupcakes, including gluten-free cupcakes.

When a user types something into a search box, Google looks through its massive library of content to figure out which web pages would be most relevant to the user. This process is called ranking. These are entirely different and separated from other slots on the search results page that can be paid for by businesses.

Advertising with Google does not have any effect on your site's presence in our search results.