What kind of search does google use

Still other pages are discovered when a website owner submits a list of pages a sitemap for Google to crawl. If you're using a managed web host, such as Wix or Blogger, they might tell Google to crawl any updated or new pages that you make. Once Google discovers a page URL, it visits, or crawls , the page to find out what's on it. 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. As large as Google has grown, as many changes as it has seen, its primary purpose is still clear: To help users find what they want on the internet. And that's where Google's search engine shines. Pandu Nayak has been with the company for more than 14 years and is now the vice president for search. 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 Screenshot from search for [best places to visit], Swisscows, August Screenshot from search for [best movies of all time], DuckDuckGo, August Screenshot from search for [privacy policy], Search Encrypt, August Screenshot from search for [survival gear], Gibiru, August Screenshot from search for [best video games], OneSearch, August Screenshot from search for [star wars], Wiki.

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Understanding intent is fundamentally about understanding language, and is a critical aspect of Search. 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.