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Google Search Scratches Its Brain 500 Million Times a Day


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An instance of a Google Knowledge Graph

Google's Knowledge Graph is a key part of the search engine's efforts to search for new data in an attempt to know more.

Credit: Google

Google processes about 100 billion search requests a month, and about 15 percent of them take longer to process because the request is totally new to its search engine.

Google crawls 20 billion websites each day to search for new data in an attempt to know more, and the Knowledge Graph is a key part of this effort. The Knowledge Graph is similar to the human brain in that it is a vast database that understands entities such as topics, people, and events, and the connections between them. The Knowledge Graph has more than 570 million entities and 18 billion facts about its connections.

Because it can parse the meaning of a new query, the Knowledge Graph delivers more precise results than traditional search. For example, if a user searches for "the best place to see the kings," the Knowledge Graph could determine which "kings," such as the Los Angeles Kings hockey team, based on the profile of the user and other contextual information.

However, the Knowledge Graph's actual knowledge still pales in comparison to the human brain. "Knowledge Graph has good coverage of people, places, things, and events, but there is plenty it doesn't know about," says Google's John Giannandrea. "We are at 1 percent."

From CNet
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Abstracts Copyright © 2013 Information Inc., Bethesda, Maryland, USA


 

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