Beyond looking at keywords, our systems also analyze if content is relevant to a query in other ways. We also use aggregated and anonymized interaction data to assess whether search results are relevant to queries. We transform that data into signals that help our machine-learned systems better estimate relevance.

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Google Search is a fully-automated search engine that uses software known as web crawlers that explore the web regularly to find pages to add to our index.