How does google searches work




















Mobile Newsletter chat avatar. Mobile Newsletter chat subscribe. Prev NEXT. Internet Basics. The Google search engine remains the cornerstone of just about everything the company does. Images Maps News articles or video footage Products or services you can purchase online Content in books Videos Scholarly papers. The frequency and location of keywords within the Web page: If the keyword appears only once within the body of a page, it will receive a low score for that keyword.

How long the Web page has existed: People create new Web pages every day, and not all of them stick around for long.

Google places more value on pages with an established history. The number of other Web pages that link to the page in question: Google looks at how many Web pages link to a particular site to determine its relevance. Does Whatever a Spider Can. Cite This! Print Citation. Try Our Crossword Puzzle! What Is the Missing Number? Try Our Sudoku Puzzles!

More Awesome Stuff. With the amount of information available on the web, finding what you need would be nearly impossible without some help sorting through it. These ranking systems are made up of not one, but a whole series of algorithms. To give you the most useful information, Search algorithms look at many factors, including the words of your query, relevance and usability of pages, expertise of sources, and your location and settings.

The weight applied to each factor varies depending on the nature of your query—for example, the freshness of the content plays a bigger role in answering queries about current news topics than it does about dictionary definitions.

To help ensure Search algorithms meet high standards of relevance and quality, we have a rigorous process that involves both live tests and thousands of trained external Search Quality Raters from around the world.

These Quality Raters follow strict guidelines that define our goals for Search algorithms and are publicly available for anyone to see. 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.

Google tries to determine the highest quality answers, and factor in other considerations that will provide the best user experience and most appropriate answer, by considering things such as the user's location, language, and device desktop or phone. For example, searching for "bicycle repair shops" would show different answers to a user in Paris than it would to a user in Hong Kong.

Google doesn't accept payment to rank pages higher, and ranking is done programmatically. Want more in-depth information about how Search works?

Read our Advanced guide to how Google Search works. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4. For details, see the Google Developers Site Policies.

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