Google’s Search Liaison, Danny Sullivan, explains in a new blog post how autocomplete predictions are generated.
Anyone who uses Google Search has encountered autocomplete before, as predictions begin appearing as soon as words are typed into the search bar.
Autocomplete predictions are designed to help save users’ time by getting them to the information they need even faster.
Google has previously explained how autocomplete works. This latest explainer is specifically focused on how the predictions are generated.
While autocomplete is designed to be helpful, it doesn’t always work out that way. Sullivan also touches on what Google does in situations where it’s best not to predict anything.
Autocomplete predictions are automatically generated based on real searches that people have typed into Google.
In generating predictions, Google looks at 4 factors:
Google first considers trending queries when generating autocomplete predictions, but it won’t only suggest the most common predictions.
“That’s how predictions work at the most basic level,” Sullivan says.
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In order to make predictions more relevant to the individual searcher, Google also looks at the searcher’s language and location.
In the example below you can see how predictions for “driving test” differ for a searcher in California (left) versus a…