How do search engines generate lists of relevant links?

The outcome is the result of two powerful forces in the evolution of information retrieval: artificial intelligence—especially natural language processing—and crowdsourcing.
Computer algorithms interpret the relationship between the words we type and the vast number of possible web pages based on the frequency of linguistic connections in the billions of texts on which the system has been trained.
But that is not the only source of information. The semantic relationships get strengthened by professional annotators who hand-tune results—and the algorithms that generate them—for topics of importance, and by web searchers (us) who, in our clicks, tell the algorithms which connections are the best ones.

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