” I sometimes joke that, if you walked into Best Buy and just started shouting “laptop!”, you’d probably be escorted out by security. We humans adapted to early search, though, and we dumbed down our language. As search became more sophisticated, we learned that we could use more complex queries, and, especially with the advent of voice search, we experimented with something closer to natural language. As Google adapted, something interesting happened: our queries became questions, prompting Google to realize that sometimes we don’t want a link to a resource — we want an answer.
as an “answer engine,” including mobile phone number database building out the Knowledge Graph and surfacing web results as direct answers known as Featured Snippets. If, for example, you search for “How does Google search work?”, you might get back a Featured Snippet (essentially, an attributed answer) like this: This particular example is a little clunky, but it illustrates how the algorithm works. Google is looking for bits and pieces of documents that might answer the question.
In this case, it’s obvious that the extracted passage isn’t really a complete answer. Now, consider the same question posed to GPT-3: How does Google search work? Google Search works by crawling the web and indexing websites. When a user searches for something, Google looks through its index and returns the most relevant results. It uses a combination of algorithms and other techniques to determine the relevance of the results. These algorithms take into account factors such as the words used in the query, the freshness of the content, the popularity of the website, and the location of the user.
Google has evolved a great deal
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