Google uses different signals to make sense of the searches, most of which are based upon the findings and judgment of staff. Nevertheless, RankBrain is the first system that is able to learn from previous mistakes.
Rankbrain converts words into mathematical entities called vectors that the computer can understand. The system then filters the results and provides links which it deems the most appropriate for each query.[1]
If RankBrain sees a word it does not recognize, the machine makes an educated guess based upon words that have a shared meaning. Each time it makes a guess, it monitors how the person responds to the results and makes adjustments in the filtering process.
The A.I. system has even managed to outcompete Google staff. Research engineers who developed the algorithm behind the software were asked to review some pages and guess which among the results they thought Google’s search engine would place on top. The staff guessed correctly 70 percent of the time, whereas RankBrain guessed correctly 80 percent of the time.[1]
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